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CN104866828A - Finger vein identification method, apparatus and vein authentication terminal device - Google Patents

Finger vein identification method, apparatus and vein authentication terminal device Download PDF

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Publication number
CN104866828A
CN104866828A CN201510260876.4A CN201510260876A CN104866828A CN 104866828 A CN104866828 A CN 104866828A CN 201510260876 A CN201510260876 A CN 201510260876A CN 104866828 A CN104866828 A CN 104866828A
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CN
China
Prior art keywords
sampled
finger
collecting device
image collecting
image
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CN201510260876.4A
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Chinese (zh)
Inventor
曾超
张永生
潘煜熙
欧咏锦
石杰
刘恒林
李基源
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Guangzhou Ropente Technology Development Co Ltd
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Guangzhou Ropente Technology Development Co Ltd
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Priority to CN201510260876.4A priority Critical patent/CN104866828A/en
Publication of CN104866828A publication Critical patent/CN104866828A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1312Sensors therefor direct reading, e.g. contactless acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Input (AREA)

Abstract

The invention relates to a finger vein identification method, an apparatus and a vein authentication terminal device. The method includes controlling an image acquisition apparatus to rotate about a sample finger once the sampled finger entered in an identification area is detected, driving the image acquisition apparatus to sample the vein of the sampled finger to obtain a plurality of sampling images, comparing and matching the sampling images with preset sample images, and determining passing of vein identification if at least one sampling image matches with the sample images. The vein false rejection rate can be maintained even when the finger plane is not perpendicular to the image acquisition apparatus. The invention is easy to realize.

Description

Finger vein identification method, device and vena identification terminal device
Technical field
The present invention relates to authentication techniques field, particularly relate to a kind of finger vein identification method, device and vena identification terminal device.
Background technology
Traditional vena identification terminal device, comprises infrared light-emitting device and camera (or imaging sensor), when certification, as shown in Figure 1, needs the accuracy of finger flat vertical camera guarantee sample effect.But vena identification terminal device is again contactless sampling, namely in sampling process, the finger of the person of being sampled is in vacant state, so just very difficult guarantee camera finger flat when taking finger-image is perpendicular to camera, sampled images and sample image is made to there is larger difference, cause sampling to refuse sincere raising, reduce the recognition capability of equipment.
At present, reduction vena identification is refused sincere relevant way and is mainly occurred that the mode revised is carried out at translation or angle of inclination for finger, the finger that this mode mainly solves the person of being sampled is ensureing that finger flat is perpendicular in camera situation, when there is translation or tilt in the position that finger is put, by to technology such as two-dimensional coordinate system correction or image procossing, reach the object of the recognition capability of raising equipment, but processing mode is all comparatively complicated.
Summary of the invention
The object of the present invention is to provide a kind of finger vein identification method, device and vena identification terminal device, even if can when finger flat is not orthogonal to image collecting device, refusing of maintenance hand vein recognition be sincere, and is simple and easy to realize.
Object of the present invention is achieved by the following scheme:
A kind of finger vein identification method, comprises the steps:
Detecting that being sampled finger enters into identified region, controlling image collecting device and rotate round the described finger that is sampled;
Drive described image collecting device to sample to the described finger vena that is sampled in rotary course, obtain multiple sampled images;
Respectively each described sampled images is compared mate with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
A kind of finger vein identification device, comprises pick-up unit, first control device, the first image collecting device, the first whirligig, the first treating apparatus, wherein:
Described pick-up unit is sampled for detecting the information that finger enters identified region;
Described first control device is used for when being sampled finger described in described pick-up unit detects and entering into described identified region, sends rotate instruction to described first whirligig, and sends rotary taking instruction to described first image collecting device;
After described first whirligig is used for receiving described rotate instruction, described image collecting device is driven to rotate round the described finger that is sampled;
Described first image collecting device is used for after receiving described rotary taking instruction, samples, obtain multiple sampled images in rotary course to the described finger vena that is sampled;
Described first treating apparatus is used for respectively each described sampled images being compared mated with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
A kind of finger vein identification device, comprises second control device, the second image collecting device, the second whirligig, the second treating apparatus, wherein:
Described second image collecting device is sampled for detecting the information that finger enters identified region;
Described control device is used for when being sampled finger described in described second image collecting device detects and entering into described identified region, sends rotate instruction to described second whirligig, and sends rotary taking instruction to described second image collecting device;
After described second whirligig is used for receiving described rotate instruction, described image collecting device is driven to rotate round the described finger that is sampled;
Described second image collecting device also for after receiving described rotary taking instruction, is sampled to the described finger vena that is sampled, is obtained multiple sampled images in rotary course;
Described second treating apparatus is used for respectively each described sampled images being compared mated with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
A kind of vena identification terminal device, is characterized in that, comprise above-mentioned any finger vein identification device.
According to the scheme of the invention described above, it is when detecting that being sampled finger enters into identified region, control image collecting device to rotate round the described finger that is sampled, and in rotary course, image sampling is carried out to the described finger vena that is sampled, the sampled images of multiple different angles can be obtained like this, and then these sampled images are compared with sample image mate, if there is at least one sampled images and sample image matches, then confirm that hand vein recognition passes through, rotate round the described finger that is sampled owing to controlling image collecting device, and repeatedly the described finger vena that is sampled is sampled in rotary course, and multiple sampled images have one to match just can confirm that hand vein recognition passes through with sample image, therefore, even if finger flat (being sampled the plane that finger is corresponding) is not orthogonal to image collecting device under initial situation, in image collecting device rotary course, also the image collecting device situation vertical with finger flat can be rotated to, and obtain the sampled images that matches with sample image, and keep hand vein recognition refuse sincere, and be simple and easy to realize.
Accompanying drawing explanation
Fig. 1 is the fundamental diagram of traditional vena identification terminal device;
Fig. 2 is the schematic flow sheet of finger vein identification method embodiment of the present invention;
Fig. 3 is step S103 in Fig. 2 refinement schematic flow sheet wherein in an embodiment.
Fig. 4 is finger vein identification device of the present invention structural representation in one embodiment;
Fig. 5 is finger vein identification device of the present invention structural representation in another embodiment;
Fig. 6 is finger vein identification device of the present invention structural representation in the third embodiment;
Fig. 7 is the structural representation of finger vein identification device of the present invention in the 4th embodiment.
Embodiment
For making object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that embodiment described herein only in order to explain the present invention, do not limit protection scope of the present invention.
In the following description, the embodiment first for finger vein identification method of the present invention is described, then is described the embodiment of finger vein identification device of the present invention, is finally described the embodiment of vena identification terminal device of the present invention.
Embodiment one
Shown in Figure 2, be the schematic flow sheet of finger vein identification method embodiment of the present invention.As shown in Figure 2, the finger vein identification method in the present embodiment comprises the steps:
Step S101: detecting that being sampled finger enters into identified region, controls image collecting device and rotates round the described finger that is sampled;
Here, the finger that finger refers to the person of being sampled is sampled;
Here, identified region refers to the region between infrared light-emitting device and image collecting device, is that image collecting device can effectively to the region being sampled finger (or being sampled finger vena) and carrying out image sampling;
Here, image collecting device can be image acquiring sensor, CCD (Charge Coupled Device, Charge Coupled Device (CCD) imageing sensor) camera or camera, general to adopt CMOS (CMOS (Complementary Metal Oxide Semiconductor, CMOS (Complementary Metal Oxide Semiconductor)) image acquiring sensor is good, has the advantage that cost is low;
Here rotation can be turn clockwise, and also can be rotated counterclockwise;
Particularly, control image collecting device to rotate round the rotation consistent with being sampled the finger bearing of trend pointed when entering into identified region, here direction unanimously refers to that the angle of bearing of trend and rotation is in preset range, such as, is less than 10 °;
Step S102: drive described image collecting device to sample to the described finger vena that is sampled in rotary course, obtain multiple sampled images;
Particularly, described image collecting device can be driven constantly to sample to the described finger vena that is sampled in rotary course, namely according to the maximum image acquisition rate of image collecting device, the described finger vena that is sampled is sampled;
Particularly, also can drive described image collecting device in rotary course, often rotate predetermined angle and once sample to the described finger vena that is sampled, wherein, predetermined angle can be arranged as required, such as, and 3 °;
Particularly, also can drive described image collecting device in rotary course, often rotate Preset Time and once sample to the described finger vena that is sampled, wherein, Preset Time can be arranged according to actual needs, such as, reduces by 0.3 second;
In addition, consider image collecting device to described be sampled finger vena sample time, need to carry out under the near infrared irradiation of infrared light-emitting device, if but after image collecting device rotation, if the near infrared ray of infrared light-emitting device can not fully realize irradiating, image sampling effect can be had influence on, for this reason, wherein in an embodiment: described control image collecting device is pointed the step carrying out rotating can comprise step round described being sampled: control described image collecting device and synchronous the rotating round the described finger that is sampled of infrared light-emitting device, that is, in rotary course, keep the relative position of image collecting device and infrared light-emitting device constant,
Infrared light-emitting device in this enforcement can be identical with the infrared light-emitting device of traditional vena identification terminal device, do not repeat them here;
Step S103: respectively each described sampled images is compared mate with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through;
Particularly, as shown in Figure 3, can the comprising the steps: of this step
Step S201: respectively each described sampled images and described sample image are carried out similarity analysis, obtains the similarity of each described sampled images and described sample image;
Wherein, arbitrary image similarity analysis mode can be adopted, such as, the pixel value of sampled images and each pixel of sample image can be obtained respectively, relatively whether sampled images is identical with the pixel value of the pixel of sample image same position, the number of pixels that statistic sampling image is identical with the pixel value of the pixel of sample image same position, then the similarity obtaining sampled images and sample image by this number of pixels divided by total number of pixels of sampled images, be also not limited to this mode certainly;
Step S202: judge whether each described similarity is greater than default threshold value respectively;
Wherein, threshold value can set according to actual needs;
Step S203: if there is similarity described at least one to be greater than described threshold value, then confirm that hand vein recognition passes through;
Hand vein recognition is by referring to that the authentication of sampler is passed through.
In addition, if do not have sampled images and sample image to match, the rotational speed that can also reduce image collecting device is once sampled the sampling of finger vena and the comparison coupling of sampled images again, namely, after reducing the rotational speed of image collecting device, return step S102.
Accordingly, according to the scheme of above-mentioned the present embodiment, it is when detecting that being sampled finger enters into identified region, control image collecting device to rotate round the described finger that is sampled, and in rotary course, image sampling is carried out to the described finger vena that is sampled, the sampled images of multiple different angles can be obtained like this, and then these sampled images are compared with sample image mate, if there is at least one sampled images and sample image matches, then confirm that hand vein recognition passes through, rotate round the described finger that is sampled owing to controlling image collecting device, and repeatedly the described finger vena that is sampled is sampled in rotary course, and multiple sampled images have one to match just can confirm that hand vein recognition passes through with sample image, therefore, even if finger flat (being sampled the plane that finger is corresponding) is not orthogonal to image collecting device under initial situation, in image collecting device rotary course, also the image collecting device situation vertical with finger flat can be rotated to, and obtain the sampled images that matches with sample image, and keep hand vein recognition refuse sincere, and be simple and easy to realize.
Embodiment two
According to the finger vein identification method of the invention described above, the present invention also provides a kind of finger vein identification device, and just the embodiment of finger vein identification device of the present invention is described in detail below.For convenience of description, Fig. 4 illustrate only the structural representation of finger vena identification embodiment of the present invention.
As shown in Figure 4, finger vein identification device of the present invention, comprises pick-up unit 301, first control device 302, first image collecting device 303, first whirligig 304, first treating apparatus 305, wherein:
Pick-up unit 301 is sampled for detecting the information that finger enters identified region;
When first control device 302 entering into described identified region for being sampled finger described in detecting at pick-up unit 301, sending rotate instruction to the first whirligig 304, and sending rotary taking instruction to the first image collecting device 303;
First whirligig 304, for after receiving described rotate instruction, drives the first image collecting device 303 to rotate round the described finger that is sampled;
Wherein, the first whirligig 304 is wanted to drive the first image collecting device 303 to rotate, and general first whirligig 304 that needs is fixedly connected with the first image collecting device 303;
First image collecting device 303, for after receiving described rotary taking instruction, is sampled to the described finger vena that is sampled, is obtained multiple sampled images in rotary course;
First treating apparatus 305 is for comparing by each described sampled images mate with the sample image preset respectively, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
Wherein in an embodiment, as shown in Figure 5, finger vein identification device of the present invention, also comprises the first infrared light-emitting device 306 be oppositely arranged with the first image collecting device 303;
First whirligig 304, after receiving described rotate instruction, drives the first image collecting device 303 and synchronous the rotating round the described finger that is sampled of the first infrared light-emitting device 306;
Wherein, the first whirligig 304 is wanted to drive the first infrared light-emitting device 306 to rotate, and general first whirligig 304 that needs is fixedly connected with the first infrared light-emitting device 306.
Wherein in an embodiment, the first image collecting device 303 often can rotate predetermined angle and once sample to the described finger vena that is sampled in rotary course.
Wherein in an embodiment, the first image collecting device 303 often can rotate Preset Time and once sample to the described finger vena that is sampled in rotary course.
Wherein in an embodiment, each described sampled images and described sample image can be carried out similarity analysis by the first treating apparatus 305 respectively, obtain the similarity of each described sampled images and described sample image, judge whether each described similarity is greater than default threshold value respectively, if there is similarity described at least one to be greater than described threshold value, then confirm that hand vein recognition passes through.
Embodiment three
According to the finger vein identification method of the invention described above, the present invention also provides a kind of finger vein identification device, and just the embodiment of finger vein identification device of the present invention is described in detail below.For convenience of description, Fig. 6 illustrate only the structural representation of finger vein identification device embodiment of the present invention.
The difference of the finger vein identification device in the present embodiment in finger vein identification device and above-described embodiment two is, consider existing image collecting device, such as, imageing sensor, can realize to whether there being object to enter that its image acquisition region detects often, for this reason, finger vein identification device in the present embodiment does not comprise pick-up unit, but realize detecting being sampled the information that finger enters identified region by the second image collecting device 403, can be cost-saving.
As shown in Figure 6, the finger vein identification device in the present embodiment, comprises second control device 401, second image collecting device 402, second whirligig 403, second treating apparatus 404, wherein:
Second image collecting device 402 is sampled for detecting the information that finger enters identified region;
When second control device 401 entering into described identified region for being sampled finger described in detecting at the second image collecting device 402, sending rotate instruction to the second whirligig 403, and sending rotary taking instruction to the second image collecting device 402;
Second whirligig 403, for after receiving described rotate instruction, drives described image collecting device to rotate round the described finger that is sampled;
Second image collecting device 402 also for after receiving described rotary taking instruction, is sampled to the described finger vena that is sampled, is obtained multiple sampled images in rotary course;
Second treating apparatus 404 is for comparing by each described sampled images mate with the sample image preset respectively, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
Wherein in an embodiment, as shown in Figure 7, finger vein identification device of the present invention, also comprises the second infrared light-emitting device 405 be oppositely arranged with the second image collecting device 405;
Second whirligig 403, after receiving described rotate instruction, drives the second image collecting device 402 and synchronous the rotating round the described finger that is sampled of the second image collecting device 405.
Wherein in an embodiment, the second image collecting device 402 often can rotate predetermined angle and once sample to the described finger vena that is sampled in rotary course.
Wherein in an embodiment, the second image collecting device 402 often can rotate Preset Time and once sample to the described finger vena that is sampled in rotary course.
Wherein in an embodiment, each described sampled images and described sample image can be carried out similarity analysis by the second treating apparatus 404 respectively, obtain the similarity of each described sampled images and described sample image, judge whether each described similarity is greater than default threshold value respectively, if there is similarity described at least one to be greater than described threshold value, then confirm that hand vein recognition passes through.
Finger vein identification device of the present invention and finger vein identification method one_to_one corresponding of the present invention, the technical characteristic of setting forth in the embodiment of above-mentioned finger vein identification method and beneficial effect thereof are all applicable in the embodiment of finger vein identification device, hereby state.
It should be noted that, term " first ", " second " only for describing object, and can not be interpreted as instruction or hint relative importance.
In addition, according to the finger vein identification device of the invention described above, the present invention also provides a kind of vena identification terminal device, comprise the finger vein identification device in any one embodiment above-mentioned, the technical characteristic of setting forth in the embodiment of above-mentioned finger vein identification device and beneficial effect thereof are all applicable to vena identification terminal device, hereby state.
Each technical characteristic of the above embodiment can combine arbitrarily, for making description succinct, the all possible combination of each technical characteristic in above-described embodiment is not all described, but, as long as the combination of these technical characteristics does not exist contradiction, be all considered to be the scope that this instructions is recorded.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.

Claims (10)

1. a finger vein identification method, is characterized in that, comprises the steps:
Detecting that being sampled finger enters into identified region, controlling image collecting device and rotate round the described finger that is sampled;
Drive described image collecting device to sample to the described finger vena that is sampled in rotary course, obtain multiple sampled images;
Respectively each described sampled images is compared mate with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
2. finger vein identification method according to claim 1, is characterized in that, described control image collecting device is pointed the step of carrying out rotating comprise step round described being sampled:
Control described image collecting device and synchronous the rotating round the described finger that is sampled of infrared light-emitting device.
3. finger vein identification method according to claim 1, is characterized in that, the described image collecting device of described driving is sampled the step that finger vena samples comprises step to described in rotary course:
Drive described image collecting device in rotary course, often rotate predetermined angle once to sample to the described finger vena that is sampled;
Or
Drive described image collecting device in rotary course, often rotate Preset Time once to sample to the described finger vena that is sampled.
4. finger vein identification method according to claim 1, it is characterized in that, described being compared with the sample image preset by each described sampled images respectively mates, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirm that the step that hand vein recognition passes through comprises step:
Respectively each described sampled images and described sample image are carried out similarity analysis, obtain the similarity of each described sampled images and described sample image;
Judge whether each described similarity is greater than default threshold value respectively;
If there is similarity described at least one to be greater than described threshold value, then confirm that hand vein recognition passes through.
5. a finger vein identification device, is characterized in that, comprises pick-up unit, first control device, the first image collecting device, the first whirligig, the first treating apparatus, wherein:
Described pick-up unit is sampled for detecting the information that finger enters identified region;
Described first control device is used for when being sampled finger described in described pick-up unit detects and entering into described identified region, sends rotate instruction to described first whirligig, and sends rotary taking instruction to described first image collecting device;
After described first whirligig is used for receiving described rotate instruction, described first image collecting device is driven to rotate round the described finger that is sampled;
Described first image collecting device is used for after receiving described rotary taking instruction, samples, obtain multiple sampled images in rotary course to the described finger vena that is sampled;
Described first treating apparatus is used for respectively each described sampled images being compared mated with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
6. finger vein identification device according to claim 5, is characterized in that, also comprises the first infrared light-emitting device be oppositely arranged with described first image collecting device;
Described first whirligig, after receiving described rotate instruction, drives described first image collecting device and synchronous the rotating round the described finger that is sampled of described first infrared light-emitting device.
7. finger vein identification device according to claim 5, is characterized in that:
Described first image collecting device often rotates predetermined angle and once samples to the described finger vena that is sampled in rotary course;
Or
Described first image collecting device often rotates Preset Time and once samples to the described finger vena that is sampled in rotary course.
8. a finger vein identification device, is characterized in that, comprises second control device, the second image collecting device, the second whirligig, the second treating apparatus, wherein:
Described second image collecting device is sampled for detecting the information that finger enters identified region;
Described control device is used for when being sampled finger described in described second image collecting device detects and entering into described identified region, sends rotate instruction to described second whirligig, and sends rotary taking instruction to described second image collecting device;
After described second whirligig is used for receiving described rotate instruction, described image collecting device is driven to rotate round the described finger that is sampled;
Described second image collecting device also for after receiving described rotary taking instruction, is sampled to the described finger vena that is sampled, is obtained multiple sampled images in rotary course;
Described second treating apparatus is used for respectively each described sampled images being compared mated with the sample image preset, if there is at least one Zhang Suoshu sampled images and described sample image matches, then confirmation hand vein recognition passes through.
9. finger vein identification device according to claim 8, is characterized in that, also comprises the second infrared light-emitting device be oppositely arranged with described second image collecting device;
Described second whirligig, after receiving described rotate instruction, drives described second image collecting device and synchronous the rotating round the described finger that is sampled of described second infrared light-emitting device.
10. a vena identification terminal device, is characterized in that, comprises the finger vein identification device as described in one of claim 5 to 9.
CN201510260876.4A 2015-05-20 2015-05-20 Finger vein identification method, apparatus and vein authentication terminal device Pending CN104866828A (en)

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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105427440A (en) * 2015-12-22 2016-03-23 成都比善科技开发有限公司 Safe electronic lock and unlocking method
CN105608770A (en) * 2015-12-22 2016-05-25 成都比善科技开发有限公司 Electronic lock and unlocking method thereof
CN105654034A (en) * 2015-12-22 2016-06-08 成都比善科技开发有限公司 Electronic lock unlocking method based on finger vein recognition
CN105678259A (en) * 2016-01-07 2016-06-15 深圳市亚略特生物识别科技有限公司 Vein authentication device and electronic system
CN107195010A (en) * 2017-06-30 2017-09-22 江苏密斯欧智能科技有限公司 A kind of access control and attendance system
CN109190517A (en) * 2018-08-14 2019-01-11 北京凌云天润智能科技有限公司 A kind of finger venous image edge extracting and direction antidote
CN109446939A (en) * 2018-10-15 2019-03-08 珠海格力电器股份有限公司 Finger vein verification method and device
CN109740561A (en) * 2019-01-11 2019-05-10 重庆工商大学 Three-dimensional finger vein imaging system based on monocular camera
CN111898455A (en) * 2020-07-02 2020-11-06 珠海格力电器股份有限公司 Vein image matching method and device
CN112308044A (en) * 2020-11-27 2021-02-02 程自昂 Image enhancement processing method and palm vein identification method for palm vein image
CN114359982A (en) * 2022-03-19 2022-04-15 广州格鲁信息技术有限公司 Anti-fraud system and method based on big data processing

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003331272A (en) * 2002-05-13 2003-11-21 Sony Corp Method and device for authenticating
CN101520838A (en) * 2008-02-27 2009-09-02 中国科学院自动化研究所 Automatic-tracking and automatic-zooming method for acquiring iris images
CN101587547A (en) * 2008-05-21 2009-11-25 索尼株式会社 Vein authentication apparatus and vein authentication method
US20110007951A1 (en) * 2009-05-11 2011-01-13 University Of Massachusetts Lowell System and method for identification of fingerprints and mapping of blood vessels in a finger
CN103761466A (en) * 2014-02-14 2014-04-30 上海云享科技有限公司 Method and device for identity authentication
CN104517104A (en) * 2015-01-09 2015-04-15 苏州科达科技股份有限公司 Face recognition method and face recognition system based on monitoring scene

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003331272A (en) * 2002-05-13 2003-11-21 Sony Corp Method and device for authenticating
CN101520838A (en) * 2008-02-27 2009-09-02 中国科学院自动化研究所 Automatic-tracking and automatic-zooming method for acquiring iris images
CN101587547A (en) * 2008-05-21 2009-11-25 索尼株式会社 Vein authentication apparatus and vein authentication method
US20110007951A1 (en) * 2009-05-11 2011-01-13 University Of Massachusetts Lowell System and method for identification of fingerprints and mapping of blood vessels in a finger
CN103761466A (en) * 2014-02-14 2014-04-30 上海云享科技有限公司 Method and device for identity authentication
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