CN109948399A - A kind of the face method of payment and device of smart phone - Google Patents
A kind of the face method of payment and device of smart phone Download PDFInfo
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- CN109948399A CN109948399A CN201711388600.XA CN201711388600A CN109948399A CN 109948399 A CN109948399 A CN 109948399A CN 201711388600 A CN201711388600 A CN 201711388600A CN 109948399 A CN109948399 A CN 109948399A
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Abstract
This disclosure relates to the method and device that a kind of face of smart phone is paid, wherein described device is realized according to the method.The method includes the following steps: carrying out In vivo detection using mobile phone；If In vivo detection success, the 3D depth camera based on mobile phone acquire face 3-D image；The face 3-D image is pre-processed；Recognition of face is carried out to pretreated face 3-D image；If recognition of face success, is paid.Recognition of face precision is high in disclosure face payment technology, recognition speed is fast, it may be implemented to be applied to mobile phone mobile terminal etc. on a large scale, improve the real-time and practicability of current mobile phone 3D recognition of face and face payment technology, the precision for improving mobile phone recognition of face and face payment, extends the function of mobile phone.
Description
Technical field
This disclosure relates to computer vision, human-computer interaction and technical field of integrated circuits, and in particular to a kind of smart phone
Face payment method and device.
Background technique
In recent years, the development of 3D face recognition technology is swift and violent.3D recognition of face is relative to fingerprint recognition, the identification such as iris recognition
System has inborn advantage, be mainly reflected in it is simple to operate, to target have fairly small infringement, it might even be possible to
Target is detected in the case where not discovering, this is that other detection modes are not accomplished.However, face payment technology at this stage
Low with recognition of face precision, recognition speed is slow, cannot achieve the defects of being applied to mobile phone mobile terminal on a large scale.
Summary of the invention
In consideration of it, the method and device that a kind of face of smart phone of the disclosure is paid, to solve current mobile phone face branch
Recognition of face precision is low in the technology of paying, and recognition speed is slow, cannot achieve the problems such as being applied to mobile phone mobile terminal on a large scale.This hair
It is bright to use following technical scheme.
On the one hand, the present disclosure proposes a kind of method of the face of smart phone payment, the method includes the following steps:
S100, In vivo detection is carried out using mobile phone；
If the success of S200, In vivo detection, the 3D depth camera based on mobile phone acquire face 3-D image；
S300, the face 3-D image is pre-processed；
S400, recognition of face is carried out to pretreated face 3-D image；
If S500, recognition of face success, are paid.
In the method, in which: the In vivo detection includes the following steps:
S101, will be on infrared general light source projects infrared light to face；
S102, the limb action for obtaining human body is instructed based on mobile phone；
If the instruction of S103, mobile phone and limb action cooperation are correct, success is detected.
In the method, in which: the pretreatment includes that image fills out hole interpolation operation, image interpolation resampling, nose
Point detection, noise reduction and smooth operation, posture correction.
In the method, in which: the recognition of face includes the following steps:
S401, pass through the depth information that depth decodes using infrared speckle pattern, generate three-dimensional coordinate in conjunction with RGB；
S402, depth information, building face 3-D image curved surface are utilized；
S403, characteristic information is extracted on the face three-dimension curved surface；
S404, it is matched based on the characteristic information with stored characteristic information, to realize recognition of face.
In the method, in which: further include following step after In vivo detection:
If In vivo detection success, opens RGB camera and the infrared speckle projector, face 3-D image is acquired；
Otherwise, infrared floodlight source is closed.
On the other hand, the present disclosure proposes a kind of device of the face of smart phone payment, described device includes following moulds
Block:
In vivo detection module, is configured for: carrying out In vivo detection using mobile phone；
Acquisition module is configured for: if In vivo detection success, the 3D depth camera based on mobile phone acquire face three
Tie up image；
Preprocessing module is configured for: the face 3-D image is pre-processed；
Face recognition module is configured for: carrying out recognition of face to pretreated face 3-D image；
Payment module is configured for: if recognition of face success, is paid.
In said device, in which: the In vivo detection module is accomplished by
It will be on infrared general light source projects infrared light to face；
The limb action for obtaining human body is instructed based on mobile phone；
If mobile phone instruction and limb action cooperation are correct, success is detected.
In said device, in which: the pretreatment includes that image fills out hole interpolation operation, image interpolation resampling, nose
Point detection, noise reduction and smooth operation, posture correction.
In said device, in which: the face recognition module is accomplished by
Pass through the depth information that depth decodes using infrared speckle pattern, generates three-dimensional coordinate in conjunction with RGB；
Using depth information, face 3-D image curved surface is constructed；
Characteristic information is extracted on the face three-dimension curved surface；
It is matched based on the characteristic information with stored characteristic information, to realize recognition of face.
In said device, in which: the In vivo detection module further includes following realizations:
If In vivo detection success, opens RGB camera and the infrared speckle projector, face 3-D image is acquired；
Otherwise, infrared floodlight source is closed.
Compared with prior art:
Recognition of face precision is high in disclosure face payment technology, and recognition speed is fast, may be implemented to be applied on a large scale
Mobile phone mobile terminal etc. improves the real-time and practicability of current mobile phone 3D recognition of face and face payment technology, improves hand
The precision of machine recognition of face and face payment, extends the function of mobile phone.
Detailed description of the invention
About smart phone face method of payment flow diagram in Fig. 1 an embodiment of the present disclosure；
About smart phone face payment mechanism structural block diagram in Fig. 2 an embodiment of the present disclosure.
Specific embodiment
In one embodiment, the present disclosure proposes a kind of methods of the face of smart phone payment, as shown in Figure 1, institute
The method of stating includes the following steps:
S100, In vivo detection is carried out using mobile phone；
If the success of S200, In vivo detection, the 3D depth camera based on mobile phone acquire face 3-D image；
S300, the face 3-D image is pre-processed；
S400, recognition of face is carried out to pretreated face 3-D image；
If S500, recognition of face success, are paid.
In the present embodiment, specifically, In vivo detection is passed through again using on infrared general light source projects infrared light to face
Mobile phone instruction combines the limb action of human body, for example, can the information such as movement, breathing, red-eye effect based on head, living body rainbow
Film detection can motion information based on iris chatter characteristic, eyelashes and eyelid, pupil to the shrinkage expansion of visible light source intensity
The features such as response characteristic carry out test alive.When mobile phone instruction is with human action cooperation mistake, detection failure is closed infrared
RGB camera and the infrared speckle projector are opened when In vivo detection success in floodlight source, acquire face 3D rendering.
When acquiring face 3-D image, three dimensional depth of the three dimensional depth camera by face of smart phone can use
Information collection is got off, and uses certain strategy to be scanned for it to determine whether containing face, if so, then returning to inspection
Position, size and the posture of the facial image measured.Preferred: the pretreatment includes that image fills out hole interpolation operation, image
Interpolation resampling, prenasale detection, noise reduction and smooth operation, posture correction.
In pretreatment, the collected face 3-D image of 3D depth camera is pre-processed, to improve three-dimensional
Image recognition efficiency, the face 3-D image to be worked well.
In recognition of face, it is preferably based on three-dimensional data and carries out recognition of face.Pass through depth first with infrared speckle pattern
Obtained depth information is decoded, generates three-dimensional coordinate in conjunction with RGB.It is then based on the 3D face identification method of three-dimensional data, is utilized
Then depth information (Z coordinate) extracts us on face three-dimension curved surface and feels so that face be allowed to form a real curved surface
The characteristic value (the distance between such as eyes, the height of nose, the distance etc. of lip to chin) of interest.With 2D recognition of face skill
Unlike art, 3D face recognition technology is turned in certain range in face and still can accurately be identified, will not be because of
The variation at visual angle and influence recognition of face, and because 3D face recognition technology in facial characteristics be to be made up of surface information
, this also allows it not influenced by light, gets rid of the dependence to light, effectively raises the precision of identification.It will finally mention
The feature templates stored in the data and database of the 3D facial image taken scan for matching, by setting a threshold value, when
Similarity is more than this threshold value, then result matching obtained exports.Recognition of face be exactly by face characteristic to be identified with
Obtained skin detection is compared, and is judged according to identity information of the similarity degree to face.
When recognition of face is unsuccessful, payment can be exited, can also be re-recognized.
In one embodiment, be based on the method, the present disclosure proposes a kind of face of smart phone payment device,
If Fig. 2 illustrates, described device includes following modules:
In vivo detection module, is configured for: carrying out In vivo detection using mobile phone；
Acquisition module is configured for: if In vivo detection success, the 3D depth camera based on mobile phone acquire face three
Tie up image；
Preprocessing module is configured for: the face 3-D image is pre-processed；
Face recognition module is configured for: carrying out recognition of face to pretreated face 3-D image；
Payment module is configured for: if recognition of face success, is paid.
In this embodiment, In vivo detection module is to pass through hand again using on infrared general light source projects infrared light to face
Machine instruction combines the limb action of human body, for example, can the information such as movement, breathing, red-eye effect based on head, living body iris
Detection can motion information based on iris chatter characteristic, eyelashes and eyelid, pupil it is anti-to the shrinkage expansion of visible light source intensity
The features such as characteristic are answered to carry out test alive.When mobile phone instruction is with human action cooperation mistake, detection failure is closed infrared general
Light source opens RGB camera and the infrared speckle projector when In vivo detection success, acquires face 3D rendering.In In vivo detection
When failure, it can exit, In vivo detection can also be re-started.
In this embodiment, acquisition module is to utilize the three dimensional depth camera of smart phone by the three dimensional depth of face
Information collection is got off, and uses certain strategy to be scanned for it to determine whether containing face, if so, then returning to inspection
Position, size and the posture of the facial image measured.
In this embodiment, preprocessing module is to be located the collected face 3-D image of 3D depth camera in advance
Reason, so that 3-D image recognition efficiency is improved, the face 3-D image to be worked well.Treatment process specifically includes that image
Fill out hole interpolation operation, image interpolation resampling, prenasale detection, noise reduction and smooth operation, posture correction.
In this embodiment, the mode that face recognition module is preferably based on three-dimensional data (RGBD) carries out 3D face knowledge
Not.Pass through the depth information that depth decodes first with infrared speckle pattern, generates three-dimensional coordinate in conjunction with RGB.It is then based on
The 3D face identification method of three-dimensional data, using depth information (Z coordinate), so that face is allowed to form a real curved surface,
Then our interested characteristic values are extracted on face three-dimension curved surface, and (the distance between such as eyes, the height of nose, lip arrive
Distance of chin etc.).Unlike 2D face recognition technology, 3D face recognition technology turns to certain range in face
Inside still can accurately identify, will not because of visual angle variation and influence recognition of face, and because of 3D face recognition technology
In facial characteristics be to be made up of surface information, this also allows it not influenced by light, gets rid of the dependence to light, has
The precision for improving identification of effect.Finally the feature templates stored in the data of the 3D facial image of extraction and database are carried out
Search matching, by setting a threshold value, when similarity is more than this threshold value, then result matching obtained is exported.Face is known
Face characteristic to be identified Jiu Shi be compared with obtained skin detection, according to similarity degree to the body of face
Part information is judged.
In this embodiment, payment module is using the result of recognition of face as judgment basis.In specific implementation, it props up
Paying module can also include following the description:
User uses payment function by password.It carries out for the first time in use, the mobile phone camera of user can carry out 360 automatically
Face characteristic acquisition is spent, and records the last state of user.Then, the user identity that the content of acquisition and system provide is shone
Piece compares verification, to confirm true identity, secondly, when user requests to log in using face identification system again, payment
Module passes sequentially through the people that In vivo detection module, acquisition module, preprocessing module and face recognition module obtain user in real time
Face feature, and recognition of face is carried out, after being identified by, it could complete to log in.Then the result of recognition of face is transferred to shifting
Payment process is completed if identified successfully in moved end, otherwise cancels payment.
Through the above description of the embodiments, it is apparent to those skilled in the art that the disclosure can borrow
Help software that the mode of required common hardware is added to realize, naturally it is also possible to by specialized hardware include specific integrated circuit, specially
It is realized with CPU, private memory, special components and parts etc..Under normal circumstances, all functions of being completed by program can be easy to
Ground realized with corresponding hardware, moreover, being used to realize the specific hardware structure of same function is also possible to diversified, example
Such as analog circuit, digital circuit or special circuit.But for purposes of this disclosure in more situations, software program realization is more
Good embodiment.Based on this understanding, the technical solution of the disclosure substantially in other words contributes to the prior art
Part can be embodied in the form of software products, which stores in a readable storage medium, and such as USB flash disk moves
Dynamic hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access
Memory), magnetic or disk etc., including some instructions are used so that a computer equipment (can be personal computer, take
Business device or the network equipment etc.) execute method described in each embodiment of the disclosure.
Although embodiment of the present invention is described in conjunction with attached drawing above, the invention is not limited to above-mentioned
Specific embodiments and applications field, above-mentioned specific embodiment are only schematical, directiveness, rather than restricted
's.Those skilled in the art are under the enlightenment of this specification and in the range for not departing from the claims in the present invention and being protected
In the case where, a variety of forms can also be made, these belong to the column of protection of the invention.
Claims (10)
1. the method that a kind of face of smart phone is paid, which is characterized in that the method includes the following steps:
S100, In vivo detection is carried out using mobile phone；
If the success of S200, In vivo detection, the 3D depth camera based on mobile phone acquire face 3-D image；
S300, the face 3-D image is pre-processed；
S400, recognition of face is carried out to pretreated face 3-D image；
If S500, recognition of face success, are paid.
2. the In vivo detection includes the following steps: the method according to claim 1, wherein preferred
S101, will be on infrared general light source projects infrared light to face；
S102, the limb action for obtaining human body is instructed based on mobile phone；
If the instruction of S103, mobile phone and limb action cooperation are correct, success is detected.
3. the method according to claim 1, wherein the pretreatment includes that image fills out hole interpolation operation, image
Interpolation resampling, prenasale detection, noise reduction and smooth operation, posture correction.
4. the method according to claim 1, wherein the recognition of face includes the following steps:
S401, pass through the depth information that depth decodes using infrared speckle pattern, generate three-dimensional coordinate in conjunction with RGB；
S402, depth information, building face 3-D image curved surface are utilized；
S403, characteristic information is extracted on the face three-dimension curved surface；
S404, it is matched based on the characteristic information with stored characteristic information, to realize recognition of face.
5. the method according to claim 1, wherein further including following step after In vivo detection:
If In vivo detection success, opens RGB camera and the infrared speckle projector, face 3-D image is acquired；
Otherwise, infrared floodlight source is closed.
6. the device that a kind of face of smart phone is paid, which is characterized in that described device includes following modules:
In vivo detection module, is configured for: carrying out In vivo detection using mobile phone；
Acquisition module is configured for: if In vivo detection success, the 3D depth camera based on mobile phone acquire face three-dimensional figure
Picture；
Preprocessing module is configured for: the face 3-D image is pre-processed；
Face recognition module is configured for: carrying out recognition of face to pretreated face 3-D image；
Payment module is configured for: if recognition of face success, is paid.
7. device according to claim 6, which is characterized in that the In vivo detection module is accomplished by
It will be on infrared general light source projects infrared light to face；
The limb action for obtaining human body is instructed based on mobile phone；
If mobile phone instruction and limb action cooperation are correct, success is detected.
8. device according to claim 6, which is characterized in that the pretreatment includes that image fills out hole interpolation operation, image
Interpolation resampling, prenasale detection, noise reduction and smooth operation, posture correction.
9. according to right want 6 described in device, which is characterized in that the face recognition module is accomplished by
Pass through the depth information that depth decodes using infrared speckle pattern, generates three-dimensional coordinate in conjunction with RGB；
Using depth information, face 3-D image curved surface is constructed；
Characteristic information is extracted on the face three-dimension curved surface；
It is matched based on the characteristic information with stored characteristic information, to realize recognition of face.
10. device according to claim 6, which is characterized in that the In vivo detection module further includes following realizations:
If In vivo detection success, opens RGB camera and the infrared speckle projector, face 3-D image is acquired；
Otherwise, infrared floodlight source is closed.
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| CN113256298A (en) * | 2020-02-10 | 2021-08-13 | 深圳市光鉴科技有限公司 | Payment system with 3D face recognition and using method |
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| CN112861764A (en) * | 2021-02-25 | 2021-05-28 | 广州图语信息科技有限公司 | Face recognition living body judgment method |
| CN112861764B (en) * | 2021-02-25 | 2023-12-08 | 广州图语信息科技有限公司 | Face recognition living body judging method |
| WO2023273043A1 (en) * | 2021-06-30 | 2023-01-05 | 深圳市商汤科技有限公司 | Payment method and apparatus, local recognition device, facial payment system, and device |
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