WO2020220223A1

WO2020220223A1 - Method for fingerprint recognition, and electronic device

Info

Publication number: WO2020220223A1
Application number: PCT/CN2019/085057
Authority: WO
Inventors: 李运宁; 沈健
Original assignee: 深圳市汇顶科技股份有限公司
Priority date: 2019-04-29
Filing date: 2019-04-29
Publication date: 2020-11-05
Also published as: CN110235144A

Abstract

Disclosed are a method for fingerprint recognition, and an electronic device, wherein same can enhance the security of fingerprint recognition under a screen. The method for fingerprint recognition is applied to an electronic device provided with a touch display screen, wherein the touch display screen comprises a fingerprint recognition area. The method comprises: acquiring capacitance information of a fingerprint recognition area when the fingerprint recognition area is pressed by an object; determining, according to the capacitance information, whether the object is a human finger; and when the object is a human finger, carrying out fingerprint identification on the object.

Description

Method and electronic equipment for fingerprint identification

Technical field

The embodiments of the present application relate to the field of fingerprint identification, and more specifically, to a method and electronic device for fingerprint identification.

Background technique

With the rapid development of science and technology, fingerprint recognition technology has been widely used in various fields such as mobile terminals and smart homes. In particular, under-screen fingerprint recognition technology has become a popular demand. At present, the fingerprint recognition technology under the screen mainly uses the fingerprint recognition technology under the optical screen. The fingerprint recognition technology under the optical screen uses the optical fingerprint sensor to collect the reflected light formed by the reflection of the finger from the light source, and the reflected light carries the fingerprint information of the finger. Fingerprint recognition under the screen.

However, in daily life, people will inevitably leave personal fingerprints in many scenarios. Once others obtain and counterfeit these personal fingerprints, they can be used to unlock electronic devices and steal personal sensitive information. Cause serious property damage. Therefore, how to enhance the security of fingerprint recognition under the screen becomes an urgent problem to be solved.

Summary of the invention

The embodiments of the present application provide a method and electronic device for fingerprint identification, which can enhance the security of fingerprint identification under the screen.

In a first aspect, a method for fingerprint identification is provided. The method is applied to an electronic device with a touch display screen, the touch display screen includes a fingerprint identification area, and the method includes: acquiring the fingerprint identification area The capacitance information of the fingerprint recognition area when the object is pressed; according to the capacitance information, it is determined whether the object is a human finger; when the object is a human finger, fingerprint identification of the object is performed.

In some possible implementation manners, when the object is a human finger, performing fingerprint recognition on the object includes: when the object is a human finger, triggering a fingerprint recognition device to collect a fingerprint image of the object Information; acquiring the fingerprint image information collected by the fingerprint identification device; determining the fingerprint identification result according to the fingerprint image information.

In some possible implementation manners, before determining whether the object is a human finger, the method further includes: acquiring fingerprint image information of the object; and performing fingerprint identification on the object includes: The fingerprint image information determines the fingerprint recognition result.

In some possible implementation manners, the determining whether the object is a human finger according to the capacitance information includes: according to the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object, and The difference ΔC1 between the capacitance values of the fingerprint recognition area when the fingerprint recognition area is not pressed by the object is used to determine whether the object is a human finger.

In some possible implementations, the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object is compared with the fingerprint recognition when the fingerprint recognition area is not pressed by the object. The difference ΔC1 between the capacitance values of the regions, determining whether the object is a human finger, includes: determining that the object is a human finger when the difference ΔC1 is within the first capacitance range.

In some possible implementation manners, the first capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.

In some possible implementation manners, the determining whether the object is a human finger according to the capacitance information includes: according to when the fingerprint recognition area is pressed by the object, when a driving signal is at least two driving frequencies The capacitance value under driving determines whether the object is a human finger.

In some possible implementation manners, the at least two driving frequencies include a first driving frequency and a second driving frequency. When the fingerprint recognition area is pressed by the object, the driving signal at the at least two driving frequencies To determine whether the object is a human finger, including: determining whether the object is a human finger according to the difference ΔC2 between the first capacitance value and the second capacitance value, wherein The capacitance value is the capacitance value when the fingerprint recognition area is pressed by the object under the driving signal of the first driving frequency, and the second capacitance value is when the fingerprint recognition area is pressed by the object. The capacitance value driven by the driving signal of the second driving frequency.

In some possible implementation manners, the determining whether the object is a human finger according to the difference ΔC2 between the first capacitance value and the second capacitance value includes: when the difference ΔC2 is within the second capacitance range In the case of, it is determined that the object is a human finger.

In some possible implementation manners, the second capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.

In some possible implementations, the fingerprint image information is generated by the fingerprint identification device according to the light signal reflected or scattered by the object.

In a second aspect, an electronic device is provided, including: a touch display screen, and a processor, where the processor is configured to execute the first aspect and the method for fingerprint identification that may be implemented in the first aspect.

When the touch screen is pressed by an object, the capacitance information of the pressed position will change, and for objects of different materials, the capacitance value of the pressed position will also be different. This application uses the above-mentioned working principle of the touch display screen, that is, when a true or false fingerprint presses the touch display screen, the capacitance value of the pressing position is different, and it can be determined whether the pressing object is a human finger, and the result is used for fingerprint recognition under the screen. It can identify two-dimensional fake fingerprints and three-dimensional fake fingerprints to enhance the security of fingerprint recognition.

Description of the drawings

FIG. 1 is a schematic diagram of the structure of an electronic device used in an embodiment of the present application.

Fig. 2 is a schematic structural diagram of a fingerprint identification device provided by an embodiment of the present application.

Fig. 3 is a schematic structural diagram of another fingerprint identification device provided by an embodiment of the present application.

FIG. 4 is a schematic structural diagram of a touch assembly provided by an embodiment of the present application.

FIG. 5 is a schematic structural diagram of another touch component provided by an embodiment of the present application.

FIG. 6 is a schematic structural diagram of a method for fingerprint identification provided by an embodiment of the present application.

FIG. 7 is a schematic diagram of the capacitance values of the fingerprint recognition area provided by the embodiment of the present application under the pressing of objects of different materials.

FIG. 8 is a schematic diagram of the amount of change in the capacitance value of the fingerprint recognition area driven by driving signals of different frequencies according to an embodiment of the present application.

FIG. 9 is a schematic flowchart of a fingerprint identification method provided by an embodiment of the present application.

FIG. 10 is a schematic flowchart of another fingerprint identification method provided by an embodiment of the present application.

FIG. 11 is a schematic block diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings.

The technical solutions of the embodiments of the present application can be applied to various electronic devices, such as portable or mobile computing devices such as smart phones, notebook computers, tablet computers, and game devices, as well as electronic databases, automobiles, and bank automated teller machines (Automated Teller Machine, ATM) And other electronic devices, but the embodiments of the present application are not limited thereto.

Take mobile phones as an example. As an indispensable part of modern life, mobile phones have a huge market covering the global population, attracting countless manufacturers and companies. Basically, mobile phones with new functions are introduced to the market every month. With the development of technology, users’ demands for large size and high screen-to-body ratio are getting higher and higher. Because the relevant components of the under-screen fingerprint recognition technology do not require additional front area of the phone, it has become the preferred authentication for high-screen-to-body phones. the way.

Under-screen fingerprint recognition may include under-screen optical fingerprint recognition, under-screen ultrasonic fingerprint recognition, and in-screen optical fingerprint recognition.

Take the under-screen optical fingerprint recognition as an example to describe the fingerprint recognition process in detail.

As shown in FIG. 1 is a schematic structural diagram of a terminal device to which the embodiment of the application can be applied. The terminal device 10 includes a display screen 120 and an optical fingerprint device 130, wherein the optical fingerprint device 130 is disposed under the display screen 120 Local area. The optical fingerprint device 130 includes an optical fingerprint sensor, and the optical fingerprint sensor includes a sensing array 133 having a plurality of optical sensing units 131, and the area where the sensing array is located or its sensing area is the fingerprint detection area of the optical fingerprint device 130 103. As shown in FIG. 1, the fingerprint detection area 103 is located in the display area of the display screen 120. In an alternative embodiment, the optical fingerprint device 130 may also be arranged in other positions, such as the side of the display screen 120 or the non-transparent area of the edge of the terminal device 10, and the optical fingerprint device 130 may be designed to The optical signal of at least a part of the display area of the display screen 120 is guided to the optical fingerprint device 130, so that the fingerprint detection area 103 is actually located in the display area of the display screen 120.

It should be understood that the area of the fingerprint detection area 103 may be different from the area of the sensing array of the optical fingerprint device 130, for example, through optical path design such as lens imaging, reflective folding optical path design, or other optical path design such as light convergence or reflection, etc. The area of the fingerprint detection area 103 of the optical fingerprint device 130 can be made larger than the area of the sensing array of the optical fingerprint device 130. In other alternative implementations, if for example, light collimation is used for light path guidance, the fingerprint detection area 103 of the optical fingerprint device 130 may also be designed to be substantially the same as the area of the sensing array of the optical fingerprint device 130.

Therefore, when the user needs to unlock the terminal device or perform other fingerprint verification, he only needs to press his finger on the fingerprint detection area 103 located in the display screen 120 to realize fingerprint input. Since fingerprint detection can be implemented in the screen, the terminal device 10 adopting the above structure does not need to reserve a space on the front side for the fingerprint button (such as the Home button), so that a full screen solution can be adopted, that is, the display area of the display screen 120 It can be basically extended to the front of the entire terminal device 10.

As an optional implementation, as shown in FIG. 1, the optical fingerprint device 130 includes a light detecting part 134 and an optical component 132, and the light detecting part 134 includes the sensor array and is electrically connected to the sensor array. The connected reading circuit and other auxiliary circuits can be fabricated on a chip (Die) by a semiconductor process, such as an optical imaging chip or an optical fingerprint sensor. The sensing array is specifically a photodetector (Photodetector) array, which includes A plurality of photodetectors distributed in an array, the photodetector can be used as the optical sensing unit as described above; the optical component 132 can be arranged above the sensing array of the photodetecting part 134, which can specifically include A filter, a light guide layer or a light path guide structure and other optical elements. The filter layer can be used to filter out ambient light penetrating the finger, and the light guide layer or light path guide structure is mainly used to remove The reflected light reflected from the finger surface is guided to the sensing array for optical detection.

In terms of specific implementation, the optical assembly 132 and the light detecting part 134 may be packaged in the same optical fingerprint component. For example, the optical component 132 and the optical detection part 134 can be packaged in the same optical fingerprint chip, or the optical component 132 can be arranged outside the chip where the optical detection part 134 is located, for example, the optical component 132 is attached above the chip, or some components of the optical assembly 132 are integrated into the chip.

Wherein, the light guide layer or light path guiding structure of the optical component 132 has multiple implementation schemes. For example, the light guide layer may specifically be a collimator layer made on a semiconductor silicon wafer, which has multiple A collimating unit or a micro-hole array. The collimating unit can be specifically a small hole. Among the reflected light reflected from the finger, the light that is perpendicularly incident on the collimating unit can pass through and be passed by the optical sensing unit below it. The light with an excessively large incident angle is attenuated by multiple reflections inside the collimating unit. Therefore, each optical sensing unit can basically only receive the reflected light reflected by the fingerprint pattern directly above it. The sensor array can detect the fingerprint image of the finger.

In another embodiment, the light guide layer or the light path guide structure may also be an optical lens (Lens) layer, which has one or more lens units, such as a lens group composed of one or more aspheric lenses, which The sensing array used to converge the reflected light reflected from the finger to the light detection part 134 below it, so that the sensing array can perform imaging based on the reflected light, thereby obtaining a fingerprint image of the finger. Optionally, the optical lens layer may further have a pinhole formed in the optical path of the lens unit, and the pinhole may cooperate with the optical lens layer to expand the field of view of the optical fingerprint device to improve the optical The fingerprint imaging effect of the fingerprint device 130.

In other embodiments, the light guide layer or the light path guide structure may also specifically adopt a micro-lens (Micro-Lens) layer. The micro-lens layer has a micro-lens array formed by a plurality of micro-lenses, which can be grown by semiconductors. A process or other processes are formed above the sensing array of the light detecting part 134, and each microlens may correspond to one of the sensing units of the sensing array. Moreover, other optical film layers may be formed between the microlens layer and the sensing unit, such as a dielectric layer or a passivation layer. More specifically, the microlens layer and the sensing unit may also include The light-blocking layer of the micro-hole, wherein the micro-hole is formed between the corresponding micro-lens and the sensing unit, the light-blocking layer can block the optical interference between the adjacent micro-lens and the sensing unit, and make the sensing The light corresponding to the unit is condensed into the microhole through the microlens and is transmitted to the sensing unit through the microhole to perform optical fingerprint imaging. It should be understood that several implementation solutions of the above-mentioned optical path guiding structure can be used alone or in combination. For example, a microlens layer can be further provided under the collimator layer or the optical lens layer. Of course, when the collimator layer or the optical lens layer is used in combination with the micro lens layer, its specific laminated structure or optical path may need to be adjusted according to actual needs.

As an optional embodiment, the display screen 120 may be a display screen with a self-luminous display unit, such as an organic light-emitting diode (Organic Light-Emitting Diode, OLED) display or a micro-LED (Micro-LED) display Screen. Taking an OLED display screen as an example, the optical fingerprint device 130 may use the display unit (ie, an OLED light source) of the OLED display screen 120 located in the fingerprint detection area 103 as an excitation light source for optical fingerprint detection. When the finger 140 is pressed against the fingerprint detection area 103, the display screen 120 emits a beam of light 111 to the target finger 140 above the fingerprint detection area 103. The light 111 is reflected on the surface of the finger 140 to form reflected light or pass through all the fingers. The finger 140 scatters to form scattered light. In related patent applications, for ease of description, the above-mentioned reflected light and scattered light are collectively referred to as reflected light. Since the ridge and valley of the fingerprint have different light reflection capabilities, the reflected light 151 from the fingerprint ridge and the generated light 152 from the fingerprint ridge have different light intensities. After the reflected light passes through the optical component 132, It is received by the sensor array 134 in the optical fingerprint device 130 and converted into a corresponding electrical signal, that is, a fingerprint detection signal; based on the fingerprint detection signal, fingerprint image data can be obtained, and fingerprint matching verification can be further performed, so that the The terminal device 10 implements an optical fingerprint recognition function.

In other embodiments, the optical fingerprint device 130 may also use a built-in light source or an external light source to provide an optical signal for fingerprint detection. In this case, the optical fingerprint device 130 may be suitable for non-self-luminous display screens, such as liquid crystal display screens or other passively-luminous display screens. Taking a liquid crystal display with a backlight module and a liquid crystal panel as an example, in order to support the under-screen fingerprint detection of the liquid crystal display, the optical fingerprint system of the terminal device 10 may also include an excitation light source for optical fingerprint detection. The excitation light source may specifically be an infrared light source or a light source of invisible light of a specific wavelength, which may be arranged under the backlight module of the liquid crystal display or arranged in the edge area under the protective cover of the terminal device 10, and the The optical fingerprint device 130 can be arranged under the edge area of the liquid crystal panel or the protective cover and guided by the light path so that the fingerprint detection light can reach the optical fingerprint device 130; or, the optical fingerprint device 130 can also be arranged in the backlight module. Under the group, and the backlight module is designed to allow the fingerprint detection light to pass through the liquid crystal panel and the backlight module and reach the optical fingerprint device 130 through openings or other optical designs on the film layers such as diffuser, brightness enhancement film, and reflective film. . When the optical fingerprint device 130 adopts a built-in light source or an external light source to provide an optical signal for fingerprint detection, the detection principle is the same as that described above.

It should be understood that, in specific implementation, the terminal device 10 further includes a transparent protective cover, and the cover may be a glass cover or a sapphire cover, which is located above the display screen 120 and covers the terminal. The front of the device 10. Because, in the embodiment of the present application, the so-called finger pressing on the display screen 120 actually refers to pressing on the cover plate above the display screen 120 or covering the surface of the protective layer of the cover plate.

On the other hand, in some embodiments, the optical fingerprint device 130 may include only one optical fingerprint sensor. At this time, the fingerprint detection area 103 of the optical fingerprint device 130 has a small area and a fixed position, so the user is performing fingerprint input At this time, it is necessary to press the finger to a specific position of the fingerprint detection area 103, otherwise the optical fingerprint device 130 may not be able to collect fingerprint images, resulting in poor user experience. In other alternative embodiments, the optical fingerprint device 130 may specifically include multiple optical fingerprint sensors; the multiple optical fingerprint sensors may be arranged side by side under the display screen 120 in a splicing manner, and the multiple optical fingerprint sensors The sensing area of the fingerprint sensor together constitutes the fingerprint detection area 103 of the optical fingerprint device 130. In other words, the fingerprint detection area 103 of the optical fingerprint device 130 may include multiple sub-areas, and each sub-area corresponds to the sensing area of one of the optical fingerprint sensors, so that the fingerprint collection area of the optical fingerprint module 130 103 can be extended to the main area of the lower half of the display screen, that is, to the area where the finger is habitually pressed, so as to realize the blind fingerprint input operation. Alternatively, when the number of optical fingerprint sensors is sufficient, the fingerprint detection area 130 can also be extended to half of the display area or even the entire display area, thereby realizing half-screen or full-screen fingerprint detection.

But while fingerprint recognition under the screen brings convenience to users, it also has some shortcomings. For example, fingerprint recognition based on optics cannot distinguish true and false fingerprints well, and human fingers are relatively easy to obtain information. Once someone else has obtained the user's fingerprint, it can be used to unlock the electronic device and steal personal sensitive information. Using fake fingerprints for payment can also cause serious property losses.

Figure 2 is a schematic diagram of fingerprint recognition performed by a human finger pressing the touch screen. Among them, 101 is the lower substrate of the touch screen, 104 is the upper substrate of the touch screen, 102 is the touch structure layer for display, 103 is the touch component on the screen, 105 is the optical fingerprint module, and 107 is the user finger.

When the user's finger touches or presses the fingerprint recognition area of the touch screen, the optical fingerprint module can receive the light signal reflected or scattered by the finger from the light source, and generate a fingerprint image of the finger according to the received light signal. The processor can compare the generated fingerprint image with the entered user fingerprint image. If the two images match, the fingerprint authentication is successful, and if the two images do not match, the fingerprint authentication fails.

However, when the fingerprint pattern printed with the fake fingerprint is placed in the fingerprint recognition area, as shown in FIG. 3, since the fingerprint pattern of the fake fingerprint 106 is consistent with the fingerprint pattern of the user's finger, the optical fingerprint module 105 responds to the light signal reflected by the fake fingerprint. The generated fingerprint pattern can be matched with the entered user fingerprint pattern. It is difficult for the optical fingerprint module to determine whether the fingerprint pattern comes from a human finger or a fake fingerprint. Therefore, the fake fingerprint can also be authenticated successfully, which affects the security of user property or privacy .

2 and 3 are only schematic diagrams, and do not limit the solutions of the embodiments of the present application. For example, the touch control component 103 may also be located inside or under the display screen, that is, the touch control component 103 may be located inside the touch structure layer 102 or below the touch structure layer 102.

The embodiment of the present application provides a method for fingerprint identification, which can enhance the security of fingerprint identification without changing the structure of the electronic device.

The method of the embodiment of the present application can enhance the security of fingerprint recognition of electronic devices based on the principle of capacitance detection of the touch display screen. The method can be applied to various capacitive touch screens and has good compatibility with various touch screens, such as self-capacitive touch screens or mutual-capacitive touch screens.

The self-capacitive touch screen detects the capacitance value between the conductor and the earth, while the mutual-capacitive touch screen detects the capacitance value between two adjacent conductors. When another conductor approaches, it will change the detection The self-capacitance value or mutual-capacitance value obtained. The capacitive touch screen uses this principle to pre-arrange electrode lines or electrode matrixes related to capacitance detection on the display screen. The human body acts as a conductor. When a finger presses the screen, the capacitance value detected by the electrode in the pressed area will change. For conductors with different resistivities or different materials, the variable of the capacitance value is different. The embodiment of the application uses this characteristic of the capacitive touch screen to determine whether the object pressed on the fingerprint recognition area is a human finger or a fake finger.

In addition, the embodiment of the present application does not specifically limit the location of the touch screen assembly. For example, the touch screen component can be arranged above the display screen, or can be arranged below the display screen or inside the display screen.

According to the different arrangement of the electrodes in the touch component, the touch component can be divided into a single-layer nano-indium tin oxide (ITO) touch component and a double-layer ITO touch component. Take double-layer ITO as an example, as shown in Figure 4, 201 represents the substrate carrying the touch component; 202 is the lower electrode of ITO, which serves as the signal receiving electrode; 203 is the dielectric layer, and 204 is the upper electrode, which is used as the transmitter electrode. When the driving signal is applied between the upper and lower electrodes, an electric field distribution can be formed between the upper and lower electrodes. Each overlapping area composed of the upper and lower electrodes can be regarded as a microcapacitor. When a finger approaches these microcapacitors, the electric field distribution will change, and the capacitance value of the pressed position will change. As shown in Figure 5, the touch component can Locate the pressing position of the finger according to the change of the capacitance value.

In the embodiment of the present application, the structural components of the touch display screen can be used to determine whether the object for fingerprint recognition is a human finger, and the determination result can be used for fingerprint recognition to improve the security of fingerprint recognition. In other words, the technical solution provided by the embodiments of the present application only determines that the fingerprint authentication is successful if the object pressed in the fingerprint recognition area is a human finger and the fingerprint pattern of the object matches the fingerprint pattern of the user. , It can prevent the fake fingerprints carrying user fingerprint patterns from being authenticated successfully.

FIG. 6 is a schematic flowchart of a method for fingerprint identification provided by an embodiment of the present application. The method can be applied to an electronic device with a touch display screen, and the touch display screen may also include a fingerprint recognition area, that is, the electronic device has an off-screen fingerprint recognition function. The method may be executed by the processor of the electronic device. The method includes steps S610-S630.

S610: Acquire capacitance information of the fingerprint recognition area when the fingerprint recognition area is pressed by the object.

S620: Determine whether the object is a human finger according to the capacitance information.

When the touch display screen is pressed by an object, the electric field distribution of the touch area will be changed, thereby changing the capacitance value of the touch area. The touch display screen can determine the pressing position of the object according to the change of the capacitance value of the pressing area.

For different materials or conductors with different resistivity, the amount of change caused by the capacitance value is different. The embodiments of the present application can use this principle of the touch screen to determine whether the object pressed in the fingerprint recognition area is a human finger or a fake finger.

S630: When the object is a human finger, perform fingerprint recognition on the object.

The embodiment of the present application may use the judgment result of the touch display screen for fingerprint recognition, that is, when performing fingerprint recognition, it will consider whether the pressing object is a human finger. Only when the pressing object is a human finger, can the fingerprint authentication succeed. When the pressing object is not a human finger, the fingerprint authentication will fail. This can identify some fake fingerprints to a certain extent and improve the security of fingerprint authentication. .

In addition, this method uses the touch component of the touch display screen to perform fingerprint identification, and does not need to change or increase the structure of electronic equipment or fingerprint identification device. It can be compatible with different types of electronic equipment, save costs, and simplify the fingerprint identification process.

It is understandable that the fingerprints of human fingers mentioned in the embodiments of this application may also be referred to as living fingerprints.

In the fingerprint authentication process, in addition to considering the capacitance information of the fingerprint identification area, it is also necessary to consider whether the fingerprint of the object matches the fingerprint of the user. That is, in the fingerprint authentication process, the fingerprint identification result can be jointly determined based on the capacitance information of the fingerprint identification area and the fingerprint image information of the object. Only when the object is a human finger and the fingerprint pattern of the object matches, the fingerprint authentication succeeds. In other words, when the object is a human finger, but the fingerprint pattern of the object does not match the fingerprint pattern of the user, or the fingerprint pattern of the object matches the fingerprint pattern of the user, but the object is not a human finger, fingerprint authentication will be caused. failure.

According to the capacitance information of the fingerprint recognition area and the fingerprint image information of the object, the fingerprint recognition result is jointly determined, which may be executed by the processor of the electronic device. The touch display screen can send the capacitance information of the touch display screen to the processor of the electronic device, and the fingerprint identification device can also send the obtained fingerprint image information to the processor of the electronic device. The processor of the electronic device can be based on the capacitance information and the fingerprint image. Information to jointly determine the fingerprint recognition result.

The process of judging whether the fingerprint pattern of the object matches the fingerprint pattern of the user can be referred to the foregoing description, and will not be repeated here.

The embodiment of the present application does not specifically limit the execution sequence of determining whether the object is a human finger and determining whether the fingerprint pattern of the object is the fingerprint pattern of the user during the fingerprint identification process.

As an example, in the case where it is determined that the fingerprint pattern of the object is a user fingerprint pattern, it can be further determined whether the object is a human finger. In other words, when an object is pressed in the fingerprint recognition area, it is first determined whether the fingerprint of the object matches the fingerprint of the user. In the case where it is determined that the fingerprint of the object does not match the fingerprint of the user, it is no longer necessary to determine whether the object is a human finger, and it can be directly determined that the fingerprint authentication fails. When it is determined that the fingerprint of the object matches the fingerprint of the user, it is determined whether the object is a human finger. When it is determined that the object is a human finger, it means that the fingerprint authentication is successful; when it is determined that the object is not a human finger, it means Fingerprint authentication failed.

As another example, in the case where it is determined that the object is a human finger, the fingerprint identification device may be triggered to perform fingerprint collection. This can reduce the power consumption of the fingerprint identification device. In other words, when an object is pressed in the fingerprint recognition area, it is first judged whether the object is a human finger. When it is determined that the object is not a human finger, it can be directly determined that the fingerprint authentication fails, and there is no need to determine whether the fingerprint of the object matches the fingerprint of the user. When it is determined that the object is a human finger, then it is determined whether the fingerprint of the object matches the fingerprint of the user. When it is determined that the fingerprint of the object matches the fingerprint of the user, it can be directly determined that the fingerprint authentication is successful. When the fingerprint of does not match, it is determined that the fingerprint authentication has failed.

As another example, when it is detected that the object touches the fingerprint recognition area, the judgment of the fingerprint of the object and the judgment of whether the object is a human finger can be performed in parallel. This can increase the speed of fingerprint recognition and improve user experience. That is to say, when it is detected that the object is pressed in the fingerprint recognition area, the touch display screen can detect the capacitance information, and the fingerprint recognition device can also obtain the fingerprint image information of the object. Only when the object is a human finger and the fingerprint of the object matches the fingerprint of the user, the fingerprint authentication is successful.

Specifically, before determining whether the object is a human finger, the electronic device can also obtain fingerprint image information of the object, and further determine the fingerprint recognition result based on the fingerprint image information of the object and the capacitance information of the fingerprint recognition area.

The detection of whether the object is pressed in the fingerprint recognition area can be determined by the touch screen. The touch display screen can judge whether the object is pressed in the fingerprint recognition area according to the change of the capacitance value. Only when the object is pressed in the fingerprint recognition area, the fingerprint recognition of the object is performed. If the pressing area of the object is not the fingerprint recognition area, It is not necessary to perform fingerprint recognition on the object.

The fingerprint identification device in the embodiment of the present application may be an optical fingerprint identification device or an ultrasonic fingerprint identification device.

The embodiment of the present application does not specifically limit the manner of determining whether the object is a human finger based on the capacitance information of the fingerprint recognition area.

For example, it can be determined whether the object is a human finger based on the capacitance value of the pressed position when the fingerprint recognition area is pressed by the object. Because different materials press the touch screen, the capacitance value of the pressing position is different. That is, when a fake fingerprint presses the fingerprint recognition area, the range of the capacitance value of the fingerprint recognition area is the same as when a human finger presses the fingerprint recognition area. The range of the capacitance value of the area is different. As shown in Figure 7, when the object of material 1 presses the fingerprint recognition area, the capacitance value of the fingerprint recognition area is greater than the capacitance value of the fingerprint recognition area when a human finger presses the fingerprint recognition area; when the object of material 2 presses the fingerprint recognition area, the fingerprint recognition The capacitance value of the area is smaller than the capacitance value of the fingerprint recognition area when a human finger presses the fingerprint recognition area. Therefore, it can be directly determined whether the object is a human finger based on the capacitance value of the pressed position.

It can be understood that FIG. 7 is only a schematic diagram for explaining the principle of the embodiments of the present application, and does not represent the changing trend and ratio of the real capacitance value.

The embodiment of the present application can determine whether the object is a human finger according to whether the capacitance value of the fingerprint recognition area is within a preset range when the fingerprint recognition area is pressed by the object. When the capacitance value of the fingerprint recognition area is within the preset range, it can be determined that the object is a human finger; when the capacitance value of the fingerprint recognition area is not within the preset range, it can be determined that the object is not a human finger.

The preset range can be customized, for example, it can be preset before the device leaves the factory. Or the preset range may be determined by dynamic learning. For example, the preset range may be obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or the user in the process of fingerprint authentication.

The preset range obtained through dynamic learning can adaptively meet the needs of different users. According to different users, the preset range can be different, which can further improve the security of fingerprint recognition and the user experience. For example, for electronic equipment with film and electronic equipment without film, the capacitance value of the fingerprint recognition area detected is different. Defining the preset range through dynamic learning can avoid the authentication failure of the user's finger during fingerprint recognition and improve the user Experience. In addition, the preset range defined by dynamic learning can also prevent the capacitance values corresponding to some fake fingerprints from falling into the preset range, and the phenomenon of successful authentication can improve the security of fingerprint recognition.

For another example, the difference ΔC1 between the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by an object and the capacitance value of the fingerprint recognition area when the fingerprint recognition area is not pressed can determine whether the object is a human finger. When the conductor of different materials is pressed on the fingerprint recognition area, the capacitance value change caused by it is different, that is, when a human finger and a fake finger press the fingerprint recognition area, the range of the capacitance value change ΔC1 of the fingerprint recognition area is different of. Therefore, the embodiment of the present application can determine whether the object is a human finger according to the difference ΔC1.

This method can more accurately determine whether the object is a human finger than the previous method of directly determining the capacitance value of the pressed area.

When there is no object approaching the touch screen, the touch screen can read a basic value. When an object presses the touch screen, the capacitance value of the touch screen will change. The amount of change in capacitance caused by different materials is different, as shown in Figure 7. For material 1, the capacitance change of the touch screen caused by it is smaller than the capacitance change of the touch screen caused by a human finger, and for material 2, the capacitance change caused by it is greater than that caused by a human finger. The capacitance change of the screen. The embodiment of the present application utilizes this characteristic of the touch display screen to recognize true and false fingers.

If the difference ΔC1 is within the first capacitance range, it is determined that the object is a human finger; if the difference ΔC1 is not within the first capacitance range, it is determined that the object is not a human finger.

Similar to the manner described above, the first capacitance range can be customized, for example, it can be preset before the device leaves the factory. Or the first capacitance range may be determined by dynamic learning. For example, the first capacitance range may be obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.

The first capacitance range obtained through training can better meet the needs of users. For example, in the case of filming and not filming, the amount of change ΔC1 of the capacitance value of the fingerprint recognition area is different. In addition, the first preset range can also be continuously updated during the user fingerprint authentication process, which can further improve user experience and enhance the security of fingerprint recognition.

For another example, it is possible to determine whether the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signal of at least two driving frequencies when the fingerprint recognition area is pressed by the object.

As a good conductor, the human body is driven by driving signals with different driving frequencies, and the capacitance values of the fingerprint recognition area caused by it are different. As shown in Fig. 8, the capacitance values of the fingerprint recognition area caused by human fingers and other materials are different under the driving signals of different frequencies.

In the embodiment of the present application, it is possible to directly determine whether the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signals of at least two driving frequencies. For example, the at least two driving frequencies include a first driving frequency and a second driving frequency, and only when the capacitance value of the fingerprint identification area driven by the driving signal of the first driving frequency satisfies within the first preset range, and the fingerprint identification Only when the capacitance value of the area driven by the driving signal of the second driving frequency satisfies within the second preset range, it can be determined that the object is a human finger.

In addition, as a good conductor, the human body has an obvious response to changes in the frequency of the drive signal, while many prostheses are insulated or poor conductors, and their response to changes in the frequency of the drive signal is not obvious. For example, under the driving signals of different frequencies, the change in capacitance caused by a human finger is greater than the change in capacitance caused by a fake finger.

As shown in Fig. 8, under the combination of driving signals of different frequencies, the amount of change in capacitance caused by different materials is different, and a human finger has a larger difference change compared to other materials. In the embodiment of the present application, the capacitance value data at different frequencies can be obtained by changing the frequency of the driving signal, and then the difference in capacitance value changes between the data can be compared to determine a true or false finger.

Shown on the left side of FIG. 8 is a waveform diagram of a driving signal with a driving frequency f1 and a driving signal with a driving frequency f2. Among them, V represents the amplitude of the drive signal, and t represents the time.

As an implementation manner, it is possible to determine whether the object is a human finger according to the difference ΔC2 between the first capacitance value and the second capacitance value, wherein the first capacitance value is the fingerprint recognition area. When the object is pressed, the capacitance value is driven by the driving signal of the first driving frequency, and the second capacitance value is the driving signal of the second driving frequency when the fingerprint recognition area is pressed by the object. The capacitance value under.

When the difference ΔC2 is within the third capacitance range, it can be determined that the object is a human finger; when the difference ΔC2 is not within the third capacitance range, it can be determined that the object is not a human finger.

Similar to the manner described above, the third capacitance range can be customized, for example, it can be preset before the device leaves the factory. Or the third capacitance range may be determined by dynamic learning. For example, the third capacitance range may be obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.

As another implementation manner, it can be determined whether the object is a human finger according to the difference ΔC4 between the difference ΔC2 and the difference ΔC3, where the difference ΔC3 is the difference between the third capacitance value and the fourth capacitance value. The third capacitance value is the capacitance value when the fingerprint identification area is pressed by the object under the driving signal of the third driving frequency, and the fourth capacitance value is the fingerprint identification When the area is pressed by the object, the capacitance value under the driving signal of the fourth driving frequency.

The embodiment of the present application can determine whether the object is a human finger based on the difference between the capacitance difference of the fingerprint recognition area under different frequency combinations. A frequency combination may include two driving frequencies, and the capacitance difference under one frequency combination may refer to the difference between the capacitance values of the fingerprint recognition area driven by the driving signals of the two driving frequencies.

Figure 8 shows the change of capacitance difference of different materials under different frequency combinations. The first row shows the fingerprint recognition caused by different materials under the driving signal of frequency f1 of 208kHz and frequency f2 of 220kHz. The difference between the capacitance values of the area is ΔC2. For a finger, the difference ΔC2 is 225, and for material 1, the difference ΔC2 is 210. The fourth row shows the difference ΔC3 between the capacitance values of the fingerprint recognition area caused by different materials under the driving of the driving signal with the frequency f1 of 208 kHz and the frequency f2 of 275 kHz. For a finger, the difference ΔC3 is 350, and for material 1, the difference ΔC3 is 270.

The difference ΔC4 between the difference ΔC2 and the difference ΔC3 caused by different materials is different. For the finger, the difference ΔC4=the difference ΔC3-the difference ΔC2=125, for the material 1, the difference ΔC4=the difference ΔC3- The difference ΔC2=60. It can be seen from the above that the finger’s response to changes in the driving frequency is significantly higher than that of Material 1. Therefore, this feature of human fingers can be used to identify real and fake fingers.

Still taking the frequency combination of row 1 and row 4 in Figure 8 as an example, a second capacitance range can be predetermined for these two frequency combinations, and then according to the subsequent recognition process, when the object presses the fingerprint recognition area, the fingerprint recognition The difference ΔC4 between the capacitance difference of the area under the combination of these two frequencies is compared with the second capacitance range to determine whether the object is a human finger.

When the difference ΔC4 is within the second capacitance range, it can be determined that the object is a human finger; when the difference ΔC4 is not within the second capacitance range, it can be determined that the object is not a human finger.

Similar to the manner described above, the second capacitance range can be customized, for example, it can be preset before the device leaves the factory. Alternatively, the second capacitance range may be determined by dynamic learning. For example, the second capacitance range may be obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.

It is understandable that the data shown in Fig. 8 does not represent the actual capacitance value, but the result after computer conversion and quantization.

The embodiment of the present application does not specifically limit the number of driving frequencies in a frequency combination, and it may be a combination of two driving frequencies, or a combination of more than two driving frequencies. In the identification process of the embodiment of the present application, the number of frequency combinations used is not specifically limited. For example, two frequency combinations may be used for identification, or two or more frequency combinations may be used for identification. As shown in Figure 8, the capacitance difference under the frequency combination of the first row, the second row and the fourth row can be collected, and then according to the difference between the capacitance difference between the rows, whether the object is a human finger judgment.

It is relatively easy for a fake fingerprint to imitate the reaction of a human finger driven by a driving signal of a certain driving frequency, but it is more difficult to imitate the reaction of a human finger driven by a driving signal of multiple driving frequencies. Therefore, by changing the driving frequency to determine whether the object is a human finger, the security of fingerprint recognition can be further enhanced. And in the judgment process, the more the number of reference drive frequencies, the higher the security of fingerprint recognition.

Of course, the embodiment of the present application may also jointly determine whether the object is a human finger based on the difference between the first capacitance value and the basic value, and the difference between the second capacitance value and the basic value.

The driving signal mentioned in the embodiment of the present application may refer to a driving signal used for touch detection of a touch display screen.

The fingerprint identification process will be described in detail below in conjunction with Figure 9 and Figure 10. Figures 9 and 10 are only examples of two fingerprint identification processes, and the embodiment of the present application is not limited to this.

Fig. 9 is a schematic flowchart of a fingerprint identification method. The method includes steps S810 to S870.

S810: After the electronic device detects that an object is covered in the fingerprint recognition area, it starts fingerprint recognition.

S820. The touch display screen collects touch information of the object. The touch screen can also send the touch information of the object to the processor of the electronic device.

S830. The processor of the electronic device may determine whether the object is a human finger according to the touch information. In the case where the object is determined to be a human finger, step S840 is entered to trigger the fingerprint recognition device to perform fingerprint image collection; in the case where it is determined that the object is not a human finger, step S820 is returned to re-collect the touch information of the object.

S840. The fingerprint identification device collects fingerprint image information of the object. The fingerprint identification device can also send the collected fingerprint image information to the processor of the electronic device.

S850. The processor of the electronic device may compare the fingerprint image information of the object with the stored fingerprint image information, and determine whether the fingerprint of the object is the fingerprint of the user. If the fingerprint of the object is not the fingerprint of the user, return to step S840 to re-collect the fingerprint image information of the object; if the fingerprint of the object is the fingerprint of the user, the fingerprint authentication is successful, and step S860 is entered.

S860. After the fingerprint authentication is successful, subsequent operations can be entered, for example, unlocking the electronic device, or successful payment, etc.

S870. End the fingerprint identification process.

Fig. 10 shows a schematic flowchart of another fingerprint identification process. The difference from FIG. 9 is that this method performs fingerprint image collection and touch information collection in a parallel manner, and the method includes steps S910 to S970.

S910: Determine whether to perform fingerprint recognition according to whether the object is pressed in the fingerprint recognition area. When the object is not pressed in the fingerprint recognition area, fingerprint recognition is not performed; when the object is pressed in the fingerprint recognition area, fingerprint recognition is started, and steps S920 and S930 are performed.

S920. The fingerprint identification device collects fingerprint image information of the object.

S930. The touch screen collects touch information of the object.

S940: Determine whether the fingerprint of the object is the fingerprint of the user according to the fingerprint image information of the object. When the fingerprint of the object is not the fingerprint of the user, return to step 910 and restart the fingerprint identification process; when the fingerprint of the object is the fingerprint of the user, step S960 can be entered for comprehensive judgment.

S950: Determine whether the object is a human finger according to the touch information of the object.

S960: Perform a comprehensive judgment based on the judgment result of whether the object is a human finger and the judgment result of the fingerprint of the object to determine the fingerprint recognition result. In the case that the fingerprint of the object is the fingerprint of the user and the user is a human finger, it is determined that the fingerprint recognition is successful, and step S970 is entered. If the fingerprint authentication fails, return to step S910 to restart the fingerprint identification process.

S970. End the fingerprint identification process.

In the method shown in FIG. 10, regardless of whether the object is a human finger, it directly enters step S960 for comprehensive judgment. Of course, the embodiment of the present application can also enter step S960 for comprehensive judgment only when the object is a human finger. In the case that the object is not a human finger, return to step S910 and perform the fingerprint identification process again.

The embodiment of the present application may also specify the degree of dependence on touch data according to the usage scenario. For example, when the screen is unlocked, the capacitance value of the fingerprint recognition area can be read in a fast and low-precision way; while in payment, the accuracy of the capacitance value read can be increased by increasing the reading time, thereby improving the security of fingerprint recognition . For another example, when the screen is unlocked, the method of comparing the difference ΔC1 with the first capacitance range can be used for fingerprint identification. This method has a faster authentication speed and can meet the user's requirements for unlocking time; and the change driver can be used when paying Frequency, the method of comparing the difference ΔC4 with the second capacitance range is used for fingerprint recognition. This method has a higher accuracy rate, so the fingerprint recognition has higher security and can meet the security requirements of users for payment scenarios.

FIG. 11 is a schematic structural diagram of an electronic device 1000 provided by an embodiment of the present application. The electronic device 1000 has an under-screen fingerprint recognition function. The electronic device 1000 may include a touch display screen 1010 that includes a fingerprint recognition area 1020. The electronic device 1000 may further include a processor 1030 configured to perform the following operations: obtain capacitance information of the fingerprint identification area when the fingerprint identification area is pressed by an object; and determine the capacitance information according to the capacitance information. Whether the object is a human finger; when the object is a human finger, perform fingerprint recognition on the object.

The electronic device 1000 may further include a fingerprint identification device 1040, and the fingerprint identification device 1040 may be arranged under the touch display screen 1010, or the fingerprint identification device 1040 may be arranged inside the touch display screen 1010. The fingerprint identification device 1040 can be used to collect fingerprint image information of the object when the object is a human finger. The processor 1030 is also configured to obtain fingerprint image information collected by the fingerprint identification device 1040, and determine the fingerprint identification result according to the fingerprint image information.

The fingerprint identification device 1040 can also collect fingerprint image information of the object after determining that the object is pressed in the fingerprint identification area. The processor 1030 may be used to obtain fingerprint image information of the object before determining that the object is a human finger, and determine the fingerprint recognition result according to the fingerprint image information.

Because in the fingerprint recognition process, in addition to judging the fingerprint image information of the object, it will also determine whether the object is a human finger. Only when the fingerprint of the object is the fingerprint of the user and the object is a human finger, Only then will the fingerprint recognition be determined to be successful, this method can enhance the security of fingerprint recognition.

Optionally, the processor 1030 is configured to compare the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object, and the fingerprint recognition when the fingerprint recognition area is not pressed by the object. The difference ΔC1 between the capacitance values of the regions determines whether the object is a human finger.

Optionally, the processor 1030 is configured to determine that the object is a human finger when the difference ΔC1 is within the first capacitance range.

The first capacitance range is obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or fingerprint authentication.

Optionally, the processor 1030 is configured to determine whether the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signal of at least two driving frequencies when the fingerprint recognition area is pressed by the object.

Optionally, the at least two driving frequencies include a first driving frequency and a second driving frequency, and the processor 1030 is configured to determine whether the object is based on the difference ΔC2 between the first capacitance value and the second capacitance value Is a human finger, wherein the first capacitance value is the capacitance value driven by the driving signal of the first driving frequency when the fingerprint recognition area is pressed by the object, and the second capacitance value is the fingerprint When the recognition area is pressed by the object, the capacitance value under the driving signal of the second driving frequency.

Optionally, the processor 1030 is configured to determine that the object is a human finger when the difference ΔC2 is within the second capacitance range.

The second capacitance range is obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or during fingerprint authentication.

The fingerprint image information is generated by the fingerprint identification device according to the light signal reflected or scattered by the object.

The touch display screen 1010 may be a self-luminous display, such as an OLED display, or a non-self-luminous display, such as a liquid crystal display (LCD) screen.

It should be noted that the optical fingerprint sensor in the embodiments of the present application may represent an optical fingerprint sensor chip.

It should be noted that the terms used in the embodiments of the present application and the appended claims are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application.

For example, the singular forms of "a", "said", "above" and "the" used in the embodiments of this application and the appended claims are also intended to include plural forms, unless the context clearly indicates other forms. meaning.

Those skilled in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered as going beyond the scope of the embodiments of the present application.

If implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products in essence or the parts that contribute to the prior art or the parts of the technical solutions, and the computer software products are stored in a storage medium. , Including several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory, random access memory, magnetic disk or optical disk and other media that can store program codes.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the equipment, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed electronic equipment, apparatus, and method may be implemented in other ways.

For example, the division of units or modules or components in the device embodiments described above is only a logical function division, and there may be other divisions in actual implementation. For example, multiple units or modules or components can be combined or integrated. To another system, or some units or modules or components can be ignored or not executed.

For another example, the units/modules/components described as separate/display components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units/modules/components may be selected according to actual needs to achieve the objectives of the embodiments of the present application.

Finally, it should be noted that the mutual coupling or direct coupling or communication connection shown or discussed above may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms. .

The above content is only the specific implementation manners of the embodiments of the application, but the protection scope of the embodiments of the application is not limited thereto. Any person skilled in the art can easily think of within the technical scope disclosed in the embodiments of the application. The change or replacement shall be covered within the protection scope of the embodiments of this application. Therefore, the protection scope of the embodiments of the present application should be subject to the protection scope of the claims.

Claims

A method for fingerprint identification, wherein the method is applied to an electronic device with a touch display screen, the touch display screen includes a fingerprint identification area, and the method includes:

Acquiring capacitance information of the fingerprint recognition area when the fingerprint recognition area is pressed by an object;

Determining whether the object is a human finger according to the capacitance information;

When the object is a human finger, fingerprint recognition on the object is performed.
The method according to claim 1, wherein the performing fingerprint recognition on the object when the object is a human finger comprises:

When the object is a human finger, trigger the fingerprint identification device to collect fingerprint image information of the object;

Acquiring the fingerprint image information collected by the fingerprint identification device;

According to the fingerprint image information, the fingerprint recognition result is determined.
The method according to claim 1, wherein before determining whether the object is a human finger, the method further comprises:

Acquiring fingerprint image information of the object;

The performing fingerprint identification on the object includes:

According to the fingerprint image information, the fingerprint recognition result is determined.
The method according to any one of claims 1 to 3, wherein the determining whether the object is a human finger according to the capacitance information comprises:

According to the difference ΔC1 between the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object and the capacitance value of the fingerprint recognition area when the fingerprint recognition area is not pressed by the object To determine whether the object is a human finger.
The method according to claim 4, wherein the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object is different from when the fingerprint recognition area is not pressed by the object. The difference ΔC1 between the capacitance values of the fingerprint identification area to determine whether the object is a human finger includes:

When the difference ΔC1 is within the first capacitance range, it is determined that the object is a human finger.
The method according to claim 5, wherein the first capacitance range is obtained by training based on capacitance information obtained by the user in the process of enrolling fingerprints and/or fingerprint authentication.
The method according to any one of claims 1 to 3, wherein the determining whether the object is a human finger according to the capacitance information comprises:

It is determined whether the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signals of at least two driving frequencies when the fingerprint recognition area is pressed by the object.
The method according to claim 7, wherein the at least two driving frequencies include a first driving frequency and a second driving frequency, and when the fingerprint recognition area is pressed by the object, the at least two driving frequencies The capacitance value driven by the driving signal of the driving frequency to determine whether the object is a human finger includes:

According to the difference ΔC2 between the first capacitance value and the second capacitance value, it is determined whether the object is a human finger, wherein the first capacitance value is when the fingerprint recognition area is pressed by the object, in the first The capacitance value driven by the driving signal of the driving frequency, and the second capacitance value is the capacitance value driven by the driving signal of the second driving frequency when the fingerprint recognition area is pressed by the object.
The method according to claim 8, wherein the at least two driving frequencies further include a third driving frequency and a fourth driving frequency, and the difference between the first capacitance value and the second capacitance value ΔC2 To determine whether the object is a human finger, including:

According to the difference ΔC4 between the difference ΔC2 and the difference ΔC3, it is determined whether the object is a human finger, wherein the difference ΔC3 is the difference between the third capacitance value and the fourth capacitance value. The three-capacitance value is the capacitance value when the fingerprint recognition area is pressed by the object under the driving signal of the third driving frequency, and the fourth capacitance value is when the fingerprint recognition area is pressed by the object, The capacitance value under the driving of the driving signal of the fourth driving frequency.
The method according to claim 9, wherein the determining whether the object is a human finger according to the difference ΔC4 between the difference ΔC2 and the difference ΔC3 comprises:

When the difference ΔC4 is within the second capacitance range, it is determined that the object is a human finger.
The method according to claim 10, wherein the second capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
The method according to claim 2 or 3, wherein the fingerprint image information is generated by a fingerprint identification device based on a light signal reflected or scattered by the object.
An electronic device, characterized in that it comprises:

A touch screen, the touch screen including a fingerprint recognition area;

The processor is used to perform the following operations:

Acquiring capacitance information of the fingerprint recognition area when the fingerprint recognition area is pressed by an object;

Determining whether the object is a human finger according to the capacitance information;

When the object is a human finger, fingerprint recognition on the object is performed.
The electronic device according to claim 13, wherein the electronic device further comprises a fingerprint identification device for collecting fingerprint image information of the object when the object is a human finger;

The processor is also used to obtain the fingerprint image information collected by the fingerprint identification device; and determine the fingerprint identification result according to the fingerprint image information.
The electronic device according to claim 13, wherein the on-board processor is further used for:

Before determining whether the object is a human finger, acquiring fingerprint image information of the object;

According to the fingerprint image information, the fingerprint recognition result is determined.
The electronic device according to any one of claims 13 to 15, wherein the processor is configured to:

According to the difference ΔC1 between the capacitance value of the fingerprint recognition area when the fingerprint recognition area is pressed by the object and the capacitance value of the fingerprint recognition area when the fingerprint recognition area is not pressed by the object To determine whether the object is a human finger.
The electronic device according to claim 16, wherein the processor is configured to:

When the difference ΔC1 is within the first capacitance range, it is determined that the object is a human finger.
The electronic device according to claim 17, wherein the first capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
The electronic device according to any one of claims 13 to 15, wherein the processor is configured to:

It is determined whether the object is a human finger according to the capacitance value of the fingerprint recognition area driven by the driving signals of at least two driving frequencies when the fingerprint recognition area is pressed by the object.
The electronic device according to claim 19, wherein the at least two driving frequencies include a first driving frequency and a second driving frequency, and the processor is configured to:

According to the difference ΔC2 between the first capacitance value and the second capacitance value, it is determined whether the object is a human finger, wherein the first capacitance value is when the fingerprint recognition area is pressed by the object, in the first The capacitance value driven by the driving signal of the driving frequency, and the second capacitance value is the capacitance value driven by the driving signal of the second driving frequency when the fingerprint recognition area is pressed by the object.
The electronic device according to claim 20, wherein the at least two driving frequencies further comprise a third driving frequency and a fourth driving frequency, and the processor is configured to:

According to the difference ΔC4 between the difference ΔC2 and the difference ΔC3, it is determined whether the object is a human finger, wherein the difference ΔC3 is the difference between the third capacitance value and the fourth capacitance value. The three-capacitance value is the capacitance value when the fingerprint recognition area is pressed by the object under the driving signal of the third driving frequency, and the fourth capacitance value is when the fingerprint recognition area is pressed by the object, The capacitance value under the driving of the driving signal of the fourth driving frequency.
22. The electronic device of claim 21, wherein the processor is configured to determine that the object is a human finger when the difference ΔC2 is within a second capacitance range.
The electronic device according to claim 22, wherein the second capacitance range is obtained by training based on capacitance information obtained by the user during fingerprint entry and/or fingerprint authentication.
The electronic device according to claim 14 or 15, wherein the fingerprint image information is generated by the fingerprint identification device according to the light signal reflected or scattered by the object.