CN106845438A - A kind of face identification method, device and electronic equipment - Google Patents
A kind of face identification method, device and electronic equipment Download PDFInfo
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- CN106845438A CN106845438A CN201710076213.6A CN201710076213A CN106845438A CN 106845438 A CN106845438 A CN 106845438A CN 201710076213 A CN201710076213 A CN 201710076213A CN 106845438 A CN106845438 A CN 106845438A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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Abstract
This application discloses a kind of face identification method, device and electronic equipment, method includes：Control electronics light of the output with fisrt feature；The face-image of human body is obtained using image acquisition units；Judge whether the face-image for obtaining meets the identification condition being associated with the light of the fisrt feature, obtain judged result；Based on the judged result, recognition of face is carried out to the face-image.The application by judging the human body face image under the light in fisrt feature first before carrying out recognition of face, if face-image meets identification condition, then illustrate that current face is the face of true man, rather than photo, recognition of face is carried out to face-image again afterwards, and then the security hole that recognition of face is carried out using photo is avoided the occurrence of, improve the security of recognition of face.
Description
Technical Field
The present disclosure relates to the field of image processing technologies, and in particular, to a face recognition method, a face recognition device, and an electronic device.
Background
At present, when face recognition is performed, a face on a photo or a face of a real person cannot be distinguished generally, so that there may be a security flaw in recognition in which the face on the photo is recognized as the face of the real person.
Disclosure of Invention
In view of the above, an object of the present application is to provide a face recognition method, a face recognition device and an electronic device, so as to solve the technical problem that in the prior art, a photo face and a human face cannot be distinguished, and security is reduced due to a security hole of recognition.
The application provides a face recognition method, which comprises the following steps:
controlling the electronic device to output light having a first characteristic;
acquiring a face image of a human body by using an image acquisition unit;
judging whether the obtained face image meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result;
and performing face recognition on the facial image based on the judgment result.
The method preferably further comprises controlling the electronic device to output light having a first characteristic, including:
the control electronics output the transformed light having the first characteristic.
The above method, preferably, the determining whether the obtained face image satisfies a recognition condition associated with the light of the first feature to obtain a determination result includes:
acquiring a local image of a target part in the face image;
and judging whether the local image of the target part meets the identification condition associated with the light of the first characteristic to obtain a judgment result.
The method preferably further comprises controlling the electronic device to output light having a first characteristic, including:
controlling a display screen of the electronic equipment to output light rays with a first characteristic;
or,
the light emitting element of the control electronic device outputs light having a first characteristic to the face of the human body.
The above method, preferably, obtaining a face image of a human body by using an image capturing unit, includes:
and obtaining image frames of the face of the human body under different light rays by using the image acquisition unit to obtain a plurality of face image frames, wherein time intervals exist between the shooting time of the image frames.
The above method, preferably, the determining whether the obtained face image satisfies the recognition condition associated with the light of the first feature to obtain a determination result, includes:
and obtaining image change characteristics of the face of the human body based on the face image frame, and judging whether at least part of the image change characteristics meet the identification condition associated with the light of the first characteristic or not to obtain a judgment result.
In the above method, preferably, the target site is an eyeball site;
the judging whether the local image of the target part meets the identification condition associated with the light of the first feature to obtain a judgment result includes:
and judging whether the local image of the eyeball part meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result.
The above method, preferably, the first feature comprises one or more of the following in combination:
color characteristics, brightness characteristics, shape characteristics of the image formed by light projection;
wherein the shape feature comprises: features of lines or regions having preset rules.
The application also provides a face recognition device, including:
the light control unit is used for controlling the electronic equipment to output light with a first characteristic;
an image obtaining unit for obtaining a face image of a human body using the image capturing unit;
an image judging unit, configured to judge whether the obtained face image satisfies an identification condition associated with the light of the first feature, to obtain a judgment result;
and the face recognition unit is used for carrying out face recognition on the face image based on the judgment result.
Preferably, in the above apparatus, the light ray control unit is specifically configured to: controlling a display screen of the electronic device to output light with the first characteristic, or controlling a light-emitting element of the electronic device to output light with the first characteristic to the frontal face of the human body.
The present application further provides an electronic device, including:
the memory is used for storing an application program and data generated by the running of the application program;
a processor for executing the application to perform the functions of: outputting light with a first characteristic; acquiring a face image of a human body by using an image acquisition unit; judging whether the obtained face image meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result; and performing face recognition on the facial image based on the judgment result.
According to the scheme, the human face image under the light of the first characteristic is judged before the human face is recognized, if the human face image meets the recognition condition, the current human face is the human face of a real person instead of a photo, and then the human face is recognized on the human face image, so that the security vulnerability of the existing human face recognition by using the photo is avoided, and the security of the human face recognition is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a flowchart illustrating an implementation of a face recognition method according to an embodiment of the present application;
FIGS. 2 and 3 are diagrams illustrating an application example of an embodiment of the present application;
FIG. 4 is a partial flow chart of a first embodiment of the present application;
FIGS. 5-8 illustrate another application example of the embodiments of the present application;
fig. 9 is a schematic structural diagram of a face recognition apparatus according to a second embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a flowchart is shown for implementing a face recognition method according to an embodiment of the present application, where the method is applicable to an electronic device that needs face recognition verification, such as mobile payment verification, access control verification, and the like.
The method in this embodiment may include the steps of:
step 101: the control electronics output light having a first characteristic.
Among them, the electronic device has a component for outputting light, such as a display screen or a light emitting element. The first characteristic may be a color, shape, brightness or orientation. The light of the first feature is output onto the face of the human body to be recognized.
The embodiment may be that the electronic device is controlled to output the light with the first characteristic when the electronic device needs face recognition verification. For example, when the human face is unlocked or payment is verified, the embodiment controls the electronic device to output the light with the first characteristic.
Step 102: a face image of a human body is obtained using an image acquisition unit.
The image acquisition unit may be a component on the electronic device, or may be a component on another device different from the electronic device. The image acquisition unit can be a camera or a camera and the like, and is used for obtaining a face image of the face of the human body under the light of the first characteristic.
Step 103: and judging whether the obtained face image meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result.
Wherein the recognition condition associated with the light of the first feature is that the face image matches or corresponds to the first feature of the light. The purpose of determining whether the face image satisfies the recognition condition in this embodiment is to determine whether the face image matches or corresponds to the first feature of the light, so as to determine whether the human body corresponding to the face image is a photograph that cannot be matched with the first feature or a real human body that matches with the first feature.
Step 104: and performing face recognition on the face image based on the judgment result.
Because the judgment result can represent whether the current facial image subjected to the face recognition is a photo which cannot be matched with the first feature or a real human body which is matched with the first feature, specific face recognition can be performed on the facial image only when the judgment result represents that the human body is the real human body which is matched with the first feature in the embodiment, so that whether the current face subjected to the face recognition is a legal face is verified, so that operations such as unlocking or payment are performed, if the judgment result represents that the human body is the human body of the photo, specific face recognition cannot be performed on the facial image, and subsequent operations such as authentication are not performed, so that the safety is ensured.
According to the scheme, the human face image under the light of the first characteristic is judged before the human face recognition, if the face image meets the recognition condition, the current human face is the human face of a real person instead of a photo, and then the human face recognition is performed on the face image, so that the security vulnerability of the existing human face recognition by using the photo is avoided, and the security of the human face recognition is improved.
In an implementation manner, when the electronic device is controlled to output the light with the first characteristic, the embodiment may specifically be: controlling a display screen of the electronic device to output light rays with a first characteristic, wherein the display screen outputs the light rays with the first characteristic after being triggered to light up, as shown in FIG. 2; or may be: the light emitting element of the electronic device is controlled to output light having the first characteristic to the face of the human body, and as shown in fig. 3, a light emitting element such as a flash provided on the electronic device outputs light having the first characteristic.
In an implementation manner, when the electronic device is controlled to output the light with the first characteristic, the embodiment may specifically control the electronic device to output the converted light with the first characteristic.
That is, the light output by the control electronics is transformed, rather than being invariant, each transformed light having a first characteristic, the first characteristic being different for different light. Therefore, if the facial image of the human body under the changed light meets the identification conditions associated with the changed light, for example, the facial image can reflect the light conversion mode or the light conversion characteristics, and the like, at this time, the judgment result indicates that the human body is a real human body, and then the embodiment will continue to perform specific face identification on the facial image.
In one implementation, the present embodiment may be specifically implemented by the following steps when determining whether the obtained face image satisfies the recognition condition associated with the ray of the first feature, as shown in fig. 4:
step 401: a local image of a target site in a face image is acquired.
The target part can be the nose bridge or eyeball part of the face. As shown in fig. 5, the local image of the target portion is an image corresponding to the eyeball portion.
Step 402: and judging whether the local image of the target part meets the identification condition associated with the light of the first characteristic to obtain a judgment result.
That is, in the present embodiment, when determining whether or not the face image satisfies the recognition condition, it is performed by determining whether or not the partial image of the target site in the face image satisfies the recognition condition. Namely: if the local image of the target portion satisfies the recognition condition, it indicates that the human body is a real human body that can be matched with the light of the first feature. For example, if the local image of the eyeball part satisfies the recognition condition, it indicates that the human body to which the eyeball part belongs is a real human body, otherwise, the local image of the eyeball part fails to satisfy the recognition condition and is not matched with or corresponds to the light of the first feature.
In one implementation, when the image capturing unit is used to obtain a facial image of a human body, the embodiment may be specifically implemented by:
the image acquisition unit is used for acquiring image frames of the face of a human body under different light rays to obtain a plurality of face image frames, and time intervals exist among shooting time of the image frames.
That is, in the present embodiment, the image capturing unit is used to obtain image frames of the face of the human body under different light rays at intervals, each image frame is obtained under different light rays, as shown in fig. 6, that is, under varying light rays, such as light rays s1 to s3, the present embodiment obtains image frames x1 to x3 at time points t1 to t3, time intervals between t1 and t2, and time intervals between t2 and t3, respectively.
Thus, when determining whether the face image satisfies the recognition condition associated with the ray of the first feature, this can be achieved by:
the method comprises the steps of obtaining image change characteristics of the face of a human body based on a face image frame, and then judging whether at least part of the image change characteristics meet identification conditions associated with light rays of a first characteristic or not, so as to obtain a judgment result.
That is, the present embodiment determines whether the currently recognized human body is a real human body by determining whether the change characteristic of the face image of the human body corresponds to the converted light, that is, determining whether the face of the currently recognized human body changes with the change of the light, thereby obtaining the determination result.
In one implementation, the first feature may include a combination of one or more of the following: color features, brightness features, and shape features of the image formed by the light projection.
Wherein, the color characteristics refer to: features such as red, green or yellow, brightness features refer to bright or dark features, and shape features of the image formed by light projection refer to: the light source is characterized by lines or areas with preset rules, that is, the image of the light output from the light emitting element projected onto the human body is the lines or areas with the preset rules. The preset rule may be: symmetrical lines or regions, such as triangles, rectangles, vertical bars, pentagons, circles, and other deformations or equiangular shapes, as shown by the circular projection shape in fig. 7, which can be projected to the eyeball part of the human body, in this embodiment, a local image of the eyeball part is obtained; or may be an asymmetric line or region, such as an irregular line or figure, as shown in fig. 8, and this line shape may be projected to the eyeball part of the human body.
For example, in the embodiment, the display screen of the electronic device is controlled to output light with changed colors to the human body, the image capturing unit such as the camera is used to obtain the face image of the human body under the light with changed colors at intervals of time, so as to obtain a plurality of face image frames, for example, the light with changed colors from blue to red and then to yellow on the display screen is output to the eyeball part of the human body, the image capturing unit obtains the local image frame of the eyeball part under the light, and further determines whether the change characteristics of the plurality of image frames at the eyeball part correspond to or match the change mode of the light with colors, for example, whether the change of the colors in the eyeball in the local image frame matches the color change of the light output by the display screen, for example, the change of the colors from blue to red to yellow is all, and then judging whether the human body is a real human body, and performing further specific face recognition only when the currently recognized human body is judged to belong to the real human body so as to perform operations such as payment verification or unlocking verification.
Or, in this embodiment, by controlling the light emitting element on the electronic device, such as a flash, to output transformed light with a projected image shape characteristic to the human body, such as outputting projected light transformed from a triangular shape to a circular shape to the human body, and then using the image collecting unit, such as a camera, to obtain facial images of the human body under the light transformed from the triangular shape to the circular shape at intervals, a plurality of facial image frames are obtained, such as the light emitting element outputting light transformed from the triangular shape to the circular shape to the eyeball part of the human body, the image collecting unit obtains local image frames of the eyeball part under such light, and further determines whether the transformation characteristic of the plurality of image frames at the eyeball part corresponds to or matches the transformation mode of the light transformed from the triangular shape to the circular shape, for example, determines whether the shape mapped into the eyeball in the local image frames matches the shape transformation of the light output by the light emitting element, if the triangular shape is changed into a circular shape, and the like, whether the human body is a real human body is judged, and only when the currently identified human body is judged to belong to the real human body, further specific face identification is carried out so as to carry out operations such as payment verification or unlocking verification.
Referring to fig. 9, a schematic structural diagram of a face recognition device according to a second embodiment of the present application is shown, where the face recognition device is suitable for use in an electronic device that needs face recognition, such as mobile payment verification, access control verification, or unlocking verification.
The apparatus in this embodiment may include the following structure:
the light control unit 901 is configured to control the electronic device to output light with the first characteristic.
The first characteristic may be a color, a shape, a brightness, or a direction. The light of the first feature is output onto the face of the human body to be recognized.
The embodiment may be that the electronic device is controlled to output the light with the first characteristic when the electronic device needs face recognition verification. For example, when the human face is unlocked or payment is verified, the embodiment controls the electronic device to output the light with the first characteristic.
In this embodiment, the electronic device may be specifically controlled to output the converted light with the first characteristic.
It is noted that the first feature may include one or a combination of more of the following: color features, brightness features, and shape features of the image formed by the light projection.
An image obtaining unit 902 for obtaining a face image of the human body with the image capturing unit.
The image obtaining unit 902 may specifically obtain image frames of the face of the human body under different light rays by using the image collecting unit to obtain a plurality of face image frames, where time intervals exist between shooting times of the image frames.
An image determination unit 903, configured to determine whether the obtained face image satisfies a recognition condition associated with the light of the first feature, resulting in a determination result.
The image determining unit 903 may specifically obtain an image change feature of the face of the human body based on the facial image frame, and determine whether at least part of the image change feature satisfies an identification condition associated with the light of the first feature, to obtain a determination result.
And the image determination unit 903 may determine whether the local image of the target portion satisfies the recognition condition associated with the light of the first feature by acquiring the local image of the target portion in the face image, resulting in a determination result.
The target portion may be an eyeball portion, and the image determination unit 903 obtains a determination result by determining whether the local image of the eyeball portion satisfies the recognition condition associated with the light of the first feature.
A face recognition unit 904, configured to perform face recognition on the facial image based on the determination result.
In one implementation, the light control unit 901 may be implemented by:
controlling a display screen of the electronic device to output light having the first characteristic as shown in fig. 2, or controlling a light emitting element of the electronic device to output light having the first characteristic to a frontal surface of a human body as shown in fig. 3.
According to the scheme, the human face image under the light of the first characteristic is judged before the human face recognition, if the face image meets the recognition condition, the current human face is the human face of a real person instead of a photo, and then the human face recognition is performed on the face image, so that the security vulnerability of the existing human face recognition by using the photo is avoided, and the security of the human face recognition is improved.
Referring to fig. 10, a schematic structural diagram of an electronic device according to a third embodiment of the present application is provided, where the electronic device may include the following structure:
a memory 1001 for storing an application program and data generated by the application program;
a processor 1002 for executing the application program to implement the functions of: outputting light with a first characteristic; acquiring a face image of a human body by using an image acquisition unit; judging whether the obtained face image meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result; and performing face recognition on the facial image based on the judgment result.
For example, when the electronic device in this embodiment, such as a mobile phone, unlocks the screen by using face recognition, because the face needs to be directed toward the camera for unlocking the face, the reflection on the eyeball may be captured by the camera. Therefore, the mobile phone rapidly judges whether the currently acquired image is a photo or a real person by displaying specific color or image shape transformation on the display screen and matching the color transformation of the reflection on the eyeball, and only when the real person is judged, the next specific face recognition operation is carried out, so that the safety of face recognition is enhanced.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above detailed description of the face recognition method, the face recognition device and the electronic device according to the present invention enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (11)
1. A face recognition method, comprising:
controlling the electronic device to output light having a first characteristic;
acquiring a face image of a human body by using an image acquisition unit;
judging whether the obtained face image meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result;
and performing face recognition on the facial image based on the judgment result.
2. The method of claim 1, wherein controlling the electronic device to output light having a first characteristic comprises:
the control electronics output the transformed light having the first characteristic.
3. The method according to claim 1 or 2, wherein the determining whether the obtained face image satisfies a recognition condition associated with the ray of the first feature, resulting in a determination result, comprises:
acquiring a local image of a target part in the face image;
and judging whether the local image of the target part meets the identification condition associated with the light of the first characteristic to obtain a judgment result.
4. The method of claim 1 or 2, wherein controlling the electronic device to output light having a first characteristic comprises:
controlling a display screen of the electronic equipment to output light rays with a first characteristic;
or,
the light emitting element of the control electronic device outputs light having a first characteristic to the face of the human body.
5. The method according to claim 1 or 2, wherein obtaining the face image of the human body with the image capturing unit comprises:
and obtaining image frames of the face of the human body under different light rays by using the image acquisition unit to obtain a plurality of face image frames, wherein time intervals exist between the shooting time of the image frames.
6. The method of claim 5, wherein determining whether the obtained face image satisfies a recognition condition associated with the ray of the first feature, resulting in a determination result, comprises:
and obtaining image change characteristics of the face of the human body based on the face image frame, and judging whether at least part of the image change characteristics meet the identification condition associated with the light of the first characteristic or not to obtain a judgment result.
7. The method of claim 3, wherein the target site is an eyeball site;
the judging whether the local image of the target part meets the identification condition associated with the light of the first feature to obtain a judgment result includes:
and judging whether the local image of the eyeball part meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result.
8. The method of claim 1, wherein the first feature comprises a combination of one or more of:
color characteristics, brightness characteristics, shape characteristics of the image formed by light projection;
wherein the shape feature comprises: features of lines or regions having preset rules.
9. A face recognition apparatus comprising:
the light control unit is used for controlling the electronic equipment to output light with a first characteristic;
an image obtaining unit for obtaining a face image of a human body using the image capturing unit;
an image judging unit, configured to judge whether the obtained face image satisfies an identification condition associated with the light of the first feature, to obtain a judgment result;
and the face recognition unit is used for carrying out face recognition on the face image based on the judgment result.
10. The apparatus of claim 9, wherein the light control unit is specifically configured to: controlling a display screen of the electronic device to output light with the first characteristic, or controlling a light-emitting element of the electronic device to output light with the first characteristic to the frontal face of the human body.
11. An electronic device, comprising:
the memory is used for storing an application program and data generated by the running of the application program;
a processor for executing the application to perform the functions of: outputting light with a first characteristic; acquiring a face image of a human body by using an image acquisition unit; judging whether the obtained face image meets the identification condition associated with the light of the first characteristic or not to obtain a judgment result; and performing face recognition on the facial image based on the judgment result.
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| WO2019047715A1 (en) * | 2017-09-08 | 2019-03-14 | Oppo广东移动通信有限公司 | Unlocking control method and related product |
| CN109583285A (en) * | 2017-09-29 | 2019-04-05 | 阿里巴巴集团控股有限公司 | Object identifying method |
| CN107644219A (en) * | 2017-10-10 | 2018-01-30 | 广东欧珀移动通信有限公司 | Face registration method and related product |
| CN107729832A (en) * | 2017-10-10 | 2018-02-23 | 广东欧珀移动通信有限公司 | Method for detecting human face and Related product |
| CN107729832B (en) * | 2017-10-10 | 2020-07-03 | Oppo广东移动通信有限公司 | Face detection method and related product |
| CN107644219B (en) * | 2017-10-10 | 2021-04-02 | Oppo广东移动通信有限公司 | Face registration method and related product |
| CN107808127A (en) * | 2017-10-11 | 2018-03-16 | 广东欧珀移动通信有限公司 | Face identification method and Related product |
| CN107808127B (en) * | 2017-10-11 | 2020-01-14 | Oppo广东移动通信有限公司 | Face recognition method and related product |
| US11093773B2 (en) | 2018-09-10 | 2021-08-17 | Advanced New Technologies Co., Ltd. | Liveness detection method, apparatus and computer-readable storage medium |
| US11210541B2 (en) | 2018-09-10 | 2021-12-28 | Advanced New Technologies Co., Ltd. | Liveness detection method, apparatus and computer-readable storage medium |
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