CN109886166A - Method for anti-counterfeit and device based on polarization characteristic - Google Patents
Method for anti-counterfeit and device based on polarization characteristic Download PDFInfo
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Abstract
The present invention relates to a kind of method for anti-counterfeit and device based on polarization characteristic, method include: the facial image that multiple orientation are acquired based on polarization camera；The facial image is parsed, the polarization characteristic of face is obtained；Determine the corresponding entropy of the polarization characteristic；Judge the entropy whether in preset threshold region；If the entropy in the preset threshold region, determines that the facial image is true.It realizes and accurately judges whether user using mobile phone, plate, photo, mask, headgear, doll etc. forges face using the polarization characteristic of face, reduce the phenomenon that using video to forge because of anti-fake be cracked of algorithm.Using technical solution of the present invention, anti-fake judgement effectively can be carried out to facial image, guarantee the reliability of recognition of face.
Description
Technical field
The present invention relates to authentication techniques fields, and in particular to a kind of method for anti-counterfeit and device based on polarization characteristic.
Background technique
The greatly easy process of authentication of the use of biometrics identification technology, face, fingerprint, palm line, iris,
The presence of the biological characteristics such as retina, sound, the bodily form, personal habits exists dependent on individual itself, eliminates external identity and tests
Demonstrate,prove the problems such as equipment such as equipment such as identity card equipment that may be present is lost.And face is as one among this all multiple features
It is a the most intuitive and the feature of acquisition is facilitated to be widely used in various authentication occasions.It is used in recognition of face each
It is no lack of the automatic operation scene for having no supervision in scene, in these scenes, in addition to ensuring that recognition of face is accurate
With it is effective, anti-fake is equally the project that must pay attention in risk management.In many forgery means, use is the most general
The method not high all over, fraud cost and technical requirements mainly has the methods of photo, plate, mobile phone, and mask, headgear etc. forge method
Although higher cost, equally it is no lack of appearance when cracking and generating along with interests.
At present for recognition of face method for anti-counterfeit can use structure light video camera head is anti-fake, infrared camera is anti-fake, calculate
Method method for anti-counterfeit etc..Wherein, it can judge that user is by the depth image before detection device with structure light video camera head is anti-fake
It is no to be forged using mobile phone, plate, photo etc., but failure will be judged for equipment such as mask, headgear, dolls.It is infrared
Camera can pass through transmitting infrared light and acquire infrared external reflection information to obtain the feedback of the information before camera, this method pair
Forgery behavior is carried out equally to a certain extent effectively in mobile phone, plate, photo etc., but for the black white image of papery, by
In the difference of gray level, it is infrared be absorbed after the degree that returns will follow the grey scale change of image and change, it will cause whether
The judgement of forgery fails.Algorithm method for anti-counterfeit, can be by allowing the user before camera lens to judge to be by the methods of movement, sound
No living body, for this operation, once found out algorithm it is anti-fake in the contents such as the movement, the voice that are likely to occur, use video pseudo-
Making can crack.
Therefore, how anti-fake judgement effectively to be carried out to facial image, guarantees that the reliability of recognition of face is people from this field
Member's technical problem urgently to be resolved.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of method for anti-counterfeit and device based on polarization characteristic, to realize
Anti-fake judgement effectively is carried out to facial image, guarantees the reliability of recognition of face.
In order to achieve the above object, the present invention provides a kind of method for anti-counterfeit based on polarization characteristic, comprising:
The facial image in multiple orientation is acquired based on polarization camera；
The facial image is parsed, the polarization characteristic of face is obtained；
Determine the corresponding entropy of the polarization characteristic；
Judge the entropy whether in preset threshold region；
If the entropy in the preset threshold region, determines that the facial image is true.
Further, described to parse to the facial image in method described above, the polarization for obtaining face is special
Property, comprising:
Registration Algorithm based on SURF feature is registrated the facial image, so that all facial images
Geometric position is consistent；
The face location in each facial image is detected based on DLIB algorithm；
Each face location is parsed, the polarization characteristic of face is obtained；
The polarization characteristic includes degree of polarization and angle of polarization image.
Further, in method described above, the corresponding entropy of the determination polarization characteristic, comprising:
Comentropy calculating is carried out to the face degree of polarization and the angle of polarization image, it is corresponding to obtain the polarization characteristic
Entropy.
Further, in method described above, after the determination facial image is true, further includes:
Based on facenet algorithm, image in all facial images and face database of polarization camera acquisition is carried out
Identification；
If all facial images all identify that success, output are the successful prompt information of identification.
Further, method described above, further includes:
If the entropy is not or not the preset threshold region, exporting the facial image is false prompt information.
The present invention also provides a kind of false proof devices based on polarization characteristic, comprising:
Acquisition module, for acquiring the facial image in multiple orientation based on polarization camera；
Parsing module obtains the polarization characteristic of face for parsing to the facial image；
First determining module, for determining the corresponding entropy of the polarization characteristic；
Judgment module, for judging the entropy whether in preset threshold region；
Second determining module determines that the facial image is if being also used to the entropy in the preset threshold region
Very.
Further, in device described above, the parsing module is specifically used for:
Registration Algorithm based on SURF feature is registrated the facial image, so that all facial images
Geometric position is consistent；
The face location in each facial image is detected based on DLIB algorithm；
Each face location is parsed, the polarization characteristic of face is obtained；
The polarization characteristic includes degree of polarization and angle of polarization image.
Further, in device described above, institute's first determining module is specifically used for:
Comentropy calculating is carried out to the face degree of polarization and the angle of polarization image, it is corresponding to obtain the polarization characteristic
Entropy.
Further, device described above, institute further include:
Detection module, for being based on facenet algorithm, to all facial images and face of polarization camera acquisition
Image is identified in library；
Output module, if all identifying that success, output are the successful prompt information of identification for all facial images.
Further, device described above, if the output module is also used to the entropy not in the preset threshold
Region, exporting the facial image is false prompt information.
Method for anti-counterfeit and device based on polarization characteristic of the invention acquires the face in multiple orientation based on polarization camera
Image；Facial image is parsed, the polarization characteristic of face is obtained；Determine the corresponding entropy of polarization characteristic；Judging entropy is
It is no in preset threshold region；If entropy in preset threshold region, determines that facial image is true.It realizes and utilizes the inclined of face
Vibration characteristic accurately judges whether user forges face using mobile phone, plate, photo, mask, headgear, doll etc., subtracts
The phenomenon that using video to forge because of anti-fake be cracked of algorithm is lacked.It, can be effectively to people using technical solution of the present invention
Face image carries out anti-fake judgement, guarantees the reliability of recognition of face.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of the method for anti-counterfeit embodiment of the invention based on polarization characteristic；
Fig. 2 is the structural schematic diagram of the false proof device embodiment one of the invention based on polarization characteristic；
Fig. 3 is the structural schematic diagram of the false proof device embodiment two of the invention based on polarization characteristic.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work
Other embodiment belongs to the range that the present invention is protected.
Fig. 1 is the flow chart of the method for anti-counterfeit embodiment of the invention based on polarization characteristic, as shown in Figure 1, the present embodiment
The method for anti-counterfeit based on polarization characteristic can specifically include following steps:
100, the facial image in multiple orientation is acquired based on polarization camera；
During a specific implementation, since facial image can be answered by equipment such as mask, headgear, dolls
System, therefore, in the present embodiment needs to judge whether facial image is the facial image of living body, and polarizes the vibration arrow for referring to shear wave
The phenomenon that amount is partial to certain directions (perpendicular to the direction of propagation of wave), there is no polarization phenomenas, only light propagation for natural light
It to body surface, is absorbed and is reflected by body surface, cause the vibration disappearance in some direction, so that reflected light has polarization now
As therefore, the polarization characteristic of body surface is not also identical.Polarization imaging is placed on camera using the polarizing film of a fixed angle
Before photosensitive element, only polarised light identical with polarizing film angle is allowed to pass through, then the azimuthal polarization of these different polarizations is taken the photograph
As head is calibrated, the image of acquisition is registrated, then finds out the polarization characteristics such as degree of polarization and angle of polarization image, really
Face material, texture and details be all different from false face, there are significant differences for the polarization characteristic of the two, it is possible to pass through
Degree of polarization and angle of polarization image can be very good to judge.
Therefore, in the present embodiment, the visible image capturing head in face recognition device can be substituted for three different polarizations
Azimuthal polarization camera, wherein three polarization azimuths are respectively as follows: 0 °, 45 ° and 90 °, being exactly will be before three photosensitive element
0 °, 45 ° and 90 ° of polarizing film is placed respectively, and three cameras are handled by calibration.Three polarization cameras need simultaneously
Control acquisition guarantees acquisition every time, can obtain the facial image of three polarization azimuths simultaneously.
It should be noted that the present embodiment does not limit the number and polarization direction of polarization camera.
101, facial image is parsed, obtains the polarization characteristic of face；
For example, can be registrated based on the registration Algorithm of SURF feature to facial image, so that all people's face image
Geometric position be consistent；The face location in each facial image is detected based on DLIB algorithm；To each face location
It is parsed, obtains the polarization characteristic of face.
102, the corresponding entropy of polarization characteristic is determined；
For example, carrying out comentropy statistics to face degree of polarization and angle of polarization image, the corresponding entropy of polarization characteristic is obtained.
103, judge entropy whether in preset threshold region；
Specifically, obtained entropy can be compared with preset threshold value, calculated, to judge entropy whether pre-
If in threshold region.For example, if entropy is consistent with preset threshold value, alternatively, error of measurement value is permitting between entropy and preset threshold value
Perhaps in error range, then whether the entropy illustrated is in preset threshold region.
If 104, entropy is whether in preset threshold region, determine that facial image is true.
If entropy in preset threshold region, determines that facial image is true, and can carry out subsequent operation, for example, unlock,
Log in application, payment etc..
The method for anti-counterfeit based on polarization characteristic of the present embodiment acquires the face figure in multiple orientation based on polarization camera
Picture；Facial image is parsed, the polarization characteristic of face is obtained；Determine the corresponding entropy of polarization characteristic；Judge entropy and is
It is no in preset threshold region；If entropy in preset threshold region, determines that facial image is true.It realizes and utilizes the inclined of face
Vibration characteristic accurately judges whether user forges face using mobile phone, plate, photo, mask, headgear, doll etc., subtracts
The phenomenon that using video to forge because of anti-fake be cracked of algorithm is lacked.It, can be effectively to people using technical solution of the present invention
Face image carries out anti-fake judgement, guarantees the reliability of recognition of face.
Further, in above-described embodiment, after determining that facial image is true, it is also necessary to polarization camera acquisition
Face images are identified with image in face database；If face images all identify that success, output are to identify successfully
Prompt information.If the unidentified success of at least one facial image in face images, output is the prompt of recognition failures
Information.
Further, in above-described embodiment, if entropy is not or not preset threshold region, exporting facial image is false prompt letter
Breath, to remind user someone that may make illegal activities etc., warns the user of current authentication, so that the use of current authentication
Family can stop verifying behavior.
Fig. 2 is the structural schematic diagram of the false proof device embodiment one of the invention based on polarization characteristic, as shown in Fig. 2, this
The false proof device based on polarization characteristic of embodiment includes acquisition module 10, parsing module 11, the first determining module 12, judges mould
Block 13 and the second determining module 14.
Acquisition module 10, for acquiring the facial image in multiple orientation based on polarization camera；
Parsing module 11 obtains the polarization characteristic of face for parsing to facial image；
Specifically, facial image can be registrated based on the registration Algorithm of SURF feature, so that all people's face figure
The geometric position of picture is consistent；The face location in each facial image is detected based on DLIB algorithm；To each face position
It sets and is parsed, obtain the polarization characteristic of face；Wherein, polarization characteristic includes degree of polarization and angle of polarization image.
First determining module 12, for determining the corresponding entropy of polarization characteristic；
For example, carrying out comentropy calculating to face degree of polarization and angle of polarization image, the corresponding entropy of polarization characteristic is obtained.
Judgment module 13, for judging entropy whether in preset threshold region；
Second determining module 14 determines that facial image is true if being also used in preset threshold region.
The false proof device based on polarization characteristic of the present embodiment acquires the face figure in multiple orientation based on polarization camera
Picture；Facial image is parsed, the polarization characteristic of face is obtained；Determine the corresponding entropy of polarization characteristic；Whether judge entropy
In preset threshold region；If entropy in preset threshold region, determines that facial image is true.Realize the polarization using face
Characteristic accurately judges whether user forges face using mobile phone, plate, photo, mask, headgear, doll etc., reduces
The phenomenon that using because of anti-fake be cracked of algorithm video to forge.It, can be effectively to face using technical solution of the present invention
Image carries out anti-fake judgement, guarantees the reliability of recognition of face.
Fig. 3 is the structural schematic diagram of the false proof device embodiment two of the invention based on polarization characteristic, as shown in figure 3, this
It further can also include detection mould on the basis of the embodiment shown in Fig. 2 of the false proof device based on polarization characteristic of embodiment
Block 15 and output module 16.
Detection module 15, all facial images and people for being based on facenet algorithm, to polarization camera acquisition
Image is identified in face library；
Output module, if all identifying that success, output are the successful prompt information of identification for all facial images.
Output module 16, is also used to:
If entropy is not or not preset threshold region, exporting facial image is false prompt information.
The present invention also provides a kind of storage mediums, are stored thereon with computer program, and computer program is executed by processor
When, realize each step of the method for anti-counterfeit based on polarization characteristic of embodiment as above.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method
Embodiment in be described in detail, no detailed explanation will be given here.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments
Unspecified content may refer to the same or similar content in other embodiments.
It should be noted that in the description of the present invention, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of method for anti-counterfeit based on polarization characteristic characterized by comprising
The facial image in multiple orientation is acquired based on polarization camera；
The facial image is parsed, the polarization characteristic of face is obtained；
Determine the corresponding entropy of the polarization characteristic；
Judge the entropy whether in preset threshold region；
If the entropy in the preset threshold region, determines that the facial image is true.
2. obtaining face the method according to claim 1, wherein described parse the facial image
Polarization characteristic, comprising:
Registration Algorithm based on SURF feature is registrated the facial image, so that the geometry of all facial images
Position is consistent；
The face location in each facial image is detected based on DLIB algorithm；
Each face location is parsed, the polarization characteristic of face is obtained；
The polarization characteristic includes degree of polarization and angle of polarization image.
3. the method according to claim 1, wherein the corresponding entropy of the determination polarization characteristic, comprising:
Comentropy calculating is carried out to the face degree of polarization and the angle of polarization image, obtains the corresponding entropy of the polarization characteristic
Value.
4. the method according to claim 1, wherein after the determination facial image is true, further includes:
Based on facenet algorithm, all facial images of polarization camera acquisition are identified with image in face database；
If all facial images all identify that success, output are the successful prompt information of identification.
5. according to the method described in claim 4, it is characterized by further comprising:
If the entropy is not or not the preset threshold region, exporting the facial image is false prompt information.
6. a kind of false proof device based on polarization characteristic characterized by comprising
Acquisition module, for acquiring the facial image in multiple orientation based on polarization camera；
Parsing module obtains the polarization characteristic of face for parsing to the facial image；
First determining module, for determining the corresponding entropy of the polarization characteristic；
Judgment module, for judging the entropy whether in preset threshold region；
Second determining module determines that the facial image is true if being also used to the entropy in the preset threshold region.
7. device according to claim 6, which is characterized in that the parsing module is specifically used for:
Registration Algorithm based on SURF feature is registrated the facial image, so that the geometry of all facial images
Position is consistent；
The face location in each facial image is detected based on DLIB algorithm；
Each face location is parsed, the polarization characteristic of face is obtained；
The polarization characteristic includes degree of polarization and angle of polarization image.
8. device according to claim 6, which is characterized in that first determining module is specifically used for:
Comentropy calculating is carried out to the face degree of polarization and the angle of polarization image, obtains the corresponding entropy of the polarization characteristic
Value.
9. device according to claim 6, which is characterized in that further include:
Detection module, for being based on facenet algorithm, in all facial images and face database of polarization camera acquisition
Image is identified；
Output module, if all identifying that success, output are the successful prompt information of identification for all facial images.
10. device according to claim 9, which is characterized in that further include:
If the output module is also used to the entropy not in the preset threshold region, exporting the facial image is false mention
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Application publication date: 20190614 |