CN109858366A - Identity identifying method and device - Google Patents
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- CN109858366A CN109858366A CN201811627377.4A CN201811627377A CN109858366A CN 109858366 A CN109858366 A CN 109858366A CN 201811627377 A CN201811627377 A CN 201811627377A CN 109858366 A CN109858366 A CN 109858366A
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Abstract
The invention discloses a kind of identity identifying method and devices.The identity identifying method includes: at least two biological informations for obtaining target object；Format analysis processing is carried out to the biological information；To format, treated that biological information identifies respectively, obtains corresponding living things feature recognition value；The corresponding living things feature recognition value of each biological information respectively as matrix element, living things feature recognition value matrix is established；All elements in the living things feature recognition value matrix are maximized, authentication value is obtained；Compare the size of authentication value and given threshold, when the authentication value is not less than the threshold value set, authentication success；Otherwise, authentication fails.Using the present invention, it can solve and carry out authentication only according to certain a kind of biological characteristic in the prior art and the biological characteristic can increase with the age or external force accident and change or damage the problem of leading to authentication inaccuracy in turn or even can not authenticating, influence of the external factor such as age to living things feature recognition accuracy rate can be reduced, to improve the accuracy rate of authentication.
Description
Technical field
The present invention relates to technical field of information processing, in particular to a kind of identity identifying method and device.
Background technique
In the epoch of this current information development, identity identifying technology is one of the important technology to ensure information safety, people
The biological characteristic of body has uniqueness and non-reproduction, therefore bio-identification is widely used in authentication.
But the biological characteristic of human body can change with time change, also can after by external force accident respective degrees
Damage, to cause to carry out the problem of authentication inaccuracy can not even authenticate according to certain specific a kind of biological characteristic.
For above-mentioned since the age increases or external force accident causes the biological characteristic of human body that can change therewith and then causes
The problem of authentication inaccuracy can not even authenticate, currently no effective solution has been proposed.
Summary of the invention
In order to solve existing in the prior art to carry out authentication only according to certain a kind of biological characteristic and the biology is special
Sign can with the age increase or external force accident and change or damage so cause authentication inaccuracy even can not authenticate ask
Topic, the present invention provides a kind of identity identifying method and devices, can reduce the external factor such as age to living things feature recognition standard
The influence of true rate, to improve the accuracy rate of authentication.
In a first aspect, the present invention provides a kind of identity identifying methods characterized by comprising
Obtain at least two biological informations of target object；
Format analysis processing is carried out to the biological information；
To format, treated that biological information identifies respectively, obtains corresponding living things feature recognition value；
The corresponding living things feature recognition value of each biological information respectively as matrix element, biological characteristic knowledge is established
Other value matrix；
All elements in the living things feature recognition value matrix are maximized, authentication value is obtained；
The size for comparing the authentication value and given threshold, when the authentication value is not less than given threshold, identity
It authenticates successfully；Otherwise, authentication fails.
It is further, described that format analysis processing is carried out to the biological information, comprising:
When the biological information is picture format, then corresponding color image is converted into gray level image；
When the biological information is audio format, then corresponding audio is pre-processed, pretreatment mode includes point
One or more of frame adding window, end-point detection, voice de-noising.
It is further, described that format, treated that biological information identifies respectively, comprising:
Using living things feature recognition network, the biological information after the format analysis processing is identified respectively.
Further, described to format, treated that biological information identifies respectively, and it is special to obtain corresponding biology
Levy discre value, comprising:
It is respectively that the biological information after the format analysis processing is similar to the progress of the biological information of preset target object
Degree compares, and obtains the corresponding living things feature recognition value of each biological information；
Alternatively, the biological characteristic of the target object of biological information and third party position after the format analysis processing is believed respectively
Breath carries out similarity comparison, obtains the corresponding living things feature recognition value of each biological information.
Further, the age of target object is obtained while obtaining at least two biological information of target object；
After authentication success, the biological information is stored as the standard biological characteristic information of target object.
In second aspect, the present invention also provides a kind of identification authentication systems characterized by comprising
First acquisition unit, for obtaining the biological information of target object；
Processing unit, for carrying out format analysis processing to the biological information of acquisition；
Living things feature recognition network obtains corresponding life for treated that biological information identifies to format respectively
Object feature discre value；Also, the corresponding living things feature recognition value of each biological information respectively as matrix element,
Establish living things feature recognition value matrix；
Authentication network obtains identity and recognizes for being maximized to all elements in the living things feature recognition value matrix
Card value；
Judging unit is set for the size of the authentication value and given threshold when the authentication value is not less than
When determining threshold value, authentication success；Otherwise, authentication fails.
Further, the processing unit further include:
Image processing module, for when the biological information is picture format, being then converted to corresponding color image
Gray level image；
Audio processing modules, for when the biological information is audio format, then corresponding audio being pre-processed,
Pretreatment mode includes one or more of framing adding window, end-point detection, voice de-noising.
Further, the living things feature recognition network includes:
Recognition of face network is identified for the face to target object, obtains face characteristic discre value；
And/or fingerprint recognition network, it is identified for the fingerprint to target object, obtains fingerprint characteristic discre value；
And/or Application on Voiceprint Recognition network, it is identified for the vocal print to target object, obtains vocal print feature discre value；
And/or iris recognition network, it is identified for the iris to target object, obtains iris feature discre value.
Further, door is equipped in the living things feature recognition network, for filtering the target object having not been obtained
Biological characteristic corresponding to living things feature recognition network output valve.
In the third aspect, the present invention also provides a kind of storage medium, it is stored with computer program in the storage medium,
Wherein, the computer program is arranged to execute identity identifying method described in any of the above embodiments when operation.
The present invention provides a kind of identity identifying method and devices.By at least two biological characteristics for identifying target object
Information obtains corresponding living things feature recognition value, is maximized to obtain the identity of target object in the living things feature recognition value
Authentication value, when determining threshold value of the authentication value not less than setting, then authentication success, solves in the prior art only root
According to certain a kind of biological characteristic progress authentication, the biological characteristic can increase with the age or external force accident and change or damage
And then the problem of causing authentication inaccuracy that can not even authenticate, the external factor such as age can be reduced to living things feature recognition
The influence of accuracy rate, to improve the accuracy rate of authentication.
Detailed description of the invention
Fig. 1 is a kind of flow diagram for identity identifying method that the embodiment of the present invention one provides；
Fig. 2 is a kind of structural schematic diagram for identification authentication system that the embodiment of the present invention three provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description.It is understood that specific embodiment described herein is used only for explaining the present invention, rather than to of the invention
It limits.
It should also be noted that, only the parts related to the present invention are shown for ease of description, in attached drawing and it is not all
Content.It should be mentioned that some exemplary embodiments are described as making before exemplary embodiment is discussed in greater detail
The processing or method described for flow chart.Although operations (or step) are described as the processing of sequence by flow chart, its
In many operations can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be pacified again
Row.The processing can be terminated when its operations are completed, it is also possible to have the additional step being not included in attached drawing.
The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Embodiment one
As shown in Figure 1, a kind of flow diagram of the identity identifying method provided for the embodiment of the present invention one, including step S11
It is specific as follows to S16:
Step S11 obtains at least two biological informations of target object.
In the present embodiment, at least two biological informations of target object are obtained, wherein the biological characteristic can be
The formalness feature of human body, is also possible to the physiological characteristic of human body, including but not limited to following several: face, fingerprint, sound
Sound, iris or venous information etc..It obtains and carries out authentication based at least two biological informations, solve only root
According to certain a kind of biological characteristic progress authentication, the biological characteristic can increase with the age or external force accident and change or damage
And then the problem of causing authentication inaccuracy that can not even authenticate, the external factor such as age can be reduced to living things feature recognition
The influence of accuracy rate, to improve the accuracy rate of authentication.
Step S12 carries out format analysis processing to biological information.
Further, carrying out format analysis processing to biological information includes: to be for storage class in biological information
Picture format, corresponding color image is converted to the gray level image to conform to a predetermined condition；For being deposited in biological information
Storing up type is audio format, then pre-processes corresponding audio, pretreatment mode include framing adding window, end-point detection,
One or more of voice de-noising.
In the present embodiment, usually in the form of images for biological informations such as collected face, fingerprint, irises
It is stored, needs to carry out accuracy rate of the image preprocessing to improve identification, image preprocessing mode is to convert color image
For gray level image, on the one hand the lines of image can be made to be more clear, facilitate the feature extraction in identification process, on the other hand can
Reduce image data amount, improves computational efficiency.
The biological informations such as collected sound, vein are usually stored in the form of audio, pretreatment side
Formula mainly includes framing adding window, end-point detection and/or voice de-noising.Since voice signal has short-term stationarity, it is therefore desirable to
Adding window framing is carried out to voice signal, voice signal is handled frame by frame；End-point detection can be by the frame containing voice signal
It is saved, reduces unnecessary frame；Voice de-noising can be improved the accuracy rate of identification.
Step S13, to format, treated that biological information identifies respectively, obtains corresponding living things feature recognition
Value.
Further, using living things feature recognition network, to format, treated that biological information identifies respectively.
Further, respectively the biological information of biological information and preset target object after format analysis processing
Similarity comparison is carried out, the corresponding living things feature recognition value of each biological information is obtained.
In the present embodiment, using recognition of face network, to format, treated that facial image carries out face feature identification,
And carry out similarity with the face feature of preset target object and compare, obtained similarity value i.e. face feature discre value wy；
Using fingerprint recognition network, to format treated fingerprint image carries out fingerprint characteristic identification, and with preset target object
Fingerprint characteristic carries out similarity comparison, obtained similarity value i.e. fingerprint characteristic discre value wp；Utilize voice recognition network, plaid matching
Formula treated wave audio carries out vocal print feature identification, and carries out similarity ratio with the vocal print feature of preset target object
It is right, obtained similarity value i.e. sound characteristic discre value ws；Using iris recognition network, to format treated iris image into
The identification of row feature, and carry out similarity with the iris feature of preset target object and compare, obtained similarity value i.e. iris is special
Levy discre value wi.
Further, respectively that the biology of the target object of biological information and third party position after format analysis processing is special
Reference breath carries out similarity comparison, obtains the corresponding living things feature recognition value of each biological information.
In the present embodiment, using recognition of face network, to format, treated that facial image carries out face feature identification,
And the face feature of the specific third party position such as target object of household register net is obtained, and then carry out similarity comparison, obtained phase
Like angle value, that is, face feature discre value wy；Using fingerprint recognition network, to format, treated that fingerprint image carries out fingerprint characteristic
Identification, and the fingerprint characteristic of the specific third party position such as target object of household register net is obtained, and then carry out similarity comparison, it obtains
Similarity value, that is, fingerprint characteristic discre value wp；Using voice recognition network, to format, treated that wave audio carries out vocal print
Feature identification, and the vocal print feature of specific third party position such as the target object in immediate communication tool voice-enabled chat is obtained, into
And similarity comparison is carried out, obtained similarity value i.e. sound characteristic discre value ws；Using iris recognition network, to format analysis processing
Iris image afterwards carries out feature identification, and obtains the iris feature of the specific third party position such as target object of household register net, into
And similarity comparison is carried out, obtained similarity value i.e. iris feature discre value wi.
Step S14 establishes life the corresponding living things feature recognition value of each biological information respectively as matrix element
Object feature identifies value matrix.
In the present embodiment, living things feature recognition value matrix is established using the living things feature recognition value in step S13.Such as with
As identification biological characteristic, then the living things feature recognition value obtained is wy, wp, ws and wi for face, fingerprint, sound, iris, is established
Living things feature recognition value matrix is W=[wy wp ws wi].
Step S15 is maximized all elements in living things feature recognition value matrix, obtains authentication value.
In this example, it is assumed that living things feature recognition value matrix is W=[wy wp ws wi]=[0.85 0.91 0.89
0.72], max function is connected, all elements in matrix W are maximized, as 0.91, then assert that the value is the body of target object
Part authentication value.
Further, increase door in living things feature recognition network, i.e., recognition of face network, fingerprint recognition network,
A door is increased separately in Application on Voiceprint Recognition network and iris recognition network, if some or certain several feature identification networks do not have
Corresponding characteristic information is got, then door is closed, and is prevented further to identify, comparison, is exported feature discre value.For example,
It is assumed that only recognition of face network does not get facial image, then the door of recognition of face network is closed, directly output face
Portion feature discre value wy is 0；Fingerprint recognition network, Application on Voiceprint Recognition network and iris recognition network export normal value wp, ws and
wi.The living things feature recognition value matrix finally established is W=[0 wp ws wi].Door, which is added, can rationally utilize calculating money
Source can save unnecessary computing resource when corresponding biological information does not input.
Step S16 compares the size of authentication value and given threshold, when authentication value is not less than given threshold,
Authentication success；Otherwise, authentication fails.
The embodiment of the present invention is by identifying that at least two biological informations of target object obtain corresponding biological characteristic
Discre value is maximized to obtain the authentication value of target object in the living things feature recognition value, determines authentication value
Not less than setting threshold value when, then authentication success is solved and is carried out in the prior art only according to certain a kind of biological characteristic
Authentication and the biological characteristic can increase with the age or external force accident and change or damage and then authentication is caused to be not allowed
The problem of really can not even authenticating, influence of the external factor such as age to living things feature recognition accuracy rate can be reduced, to mention
The accuracy rate of high authentication.
Embodiment two
The present embodiment is optimized based on embodiment one, in the present embodiment, obtains the biological information of target object
While also to get the current age information of target object, specifically:
At least two biological informations of target object and the current age information of target object are obtained, and use corresponding year
Age is labeled corresponding biological information.Such as includes face, refers in the biological information for collecting target object
Line and sound then need to carry out age mark to the biological information being collected into.Such as " face -18 " expression collects 18 years old
Face information, " fingerprint -30 " indicate to collect 30 years old finger print information.
Further, after authentication success, the standard biological feature that biological information is stored as target object is believed
Breath.
In the present embodiment, obtain the face of 20 years old target object, fingerprint and sound feature discre value be respectively wy=
0.85, wp=0.91, ws=0.72, then living things feature recognition value matrix is W=[0.85 0.91 0.72], and authentication value is
0.91.Greater than given threshold 0.75, then authentication success.Institute occur it is this as a result, may preset target object life
Information when object characteristic information is target object 10 years old, relative to 10 years old, larger change was had occurred in face feature and sound within 20 years old
Change, causes corresponding living things feature recognition value smaller.Further, the face characteristic of the target object of acquisition is stored as the target
The standard faces feature of object, is stored as the fingerprint characteristic of the target object of acquisition the standard fingerprint characteristic of the target object,
The sound characteristic of the target object of acquisition is stored as the standard voice feature of the target object, next time to the target object
When carrying out authentication, the standard of the target object of the biological information and storage of the target object of the secondary reacquisition
Biological information carries out similarity comparison, obtains the corresponding living things feature recognition value of the biological information.
Above scheme can solve the biological information of preset target object or the target object of third party position
When biological information (i.e. the contrast standard of biological information progress similarity comparison) has been subjected to, which can
It can guarantee that the comparison standard of biological information is persistently kept with age or the problem of external force accident changes
In last state.After being based especially on the lesser biometric authentication success of a certain constant or amplitude of variation, update other
The biggish biological characteristic of amplitude of variation effectively avoids being based only upon the amplitude of variation biggish biological characteristic and recognize when authentication
The problem of card failure, improve authentication accuracy.
Embodiment three
A kind of identification authentication system is additionally provided according to embodiments of the present invention, it should be noted that the identity of the embodiment of the present invention
Authentication device can be used for executing identity identifying method provided by the embodiment of the present invention.Below to provided in an embodiment of the present invention
Identification authentication system is introduced.
Fig. 2 is the schematic diagram of identification authentication system according to an embodiment of the present invention, which includes:
First acquisition unit 11, for obtaining the biological information of target object；
Processing unit 12, for carrying out format analysis processing to the biological information of acquisition；
Living things feature recognition network 13 obtains corresponding for format, treated that biological information identifies respectively
Living things feature recognition value；Also, the corresponding living things feature recognition value of each biological information is built respectively as matrix element
Vertical living things feature recognition value matrix；
Authentication network 14 obtains authentication for being maximized to all elements in living things feature recognition value matrix
Value；
Judging unit 15, for comparing the size of authentication value and given threshold, when authentication value is not less than given threshold
When, authentication success；Otherwise, authentication fails.
Identification authentication system provided in an embodiment of the present invention, by least two biological informations for identifying target object
Corresponding living things feature recognition value is obtained, is maximized to obtain the authentication of target object in the living things feature recognition value
Value, when determining threshold value of the authentication value not less than setting, then authentication success, solves in the prior art only according to certain
A kind of biological characteristic carries out authentication and the biological characteristic can increase with the age or external force accident and change or damage in turn
The problem of causing authentication inaccuracy that can not even authenticate, it is accurate to living things feature recognition that the external factor such as age can be reduced
The influence of rate, to improve the accuracy rate of authentication.
In a kind of optional scheme, processing unit 12 includes:
Image processing module, for when biological information is picture format, then corresponding color image being converted to gray scale
Image；
Audio processing modules, it is pre- to locate for when biological information is audio format, then pre-processing corresponding audio
Reason mode includes one or more of framing adding window, end-point detection, voice de-noising.
In a kind of optional scheme, living things feature recognition network 13 includes:
Recognition of face network is identified for the face to target object, obtains face characteristic discre value；
And/or fingerprint recognition network, it is identified for the fingerprint to target object, obtains fingerprint characteristic discre value；
And/or Application on Voiceprint Recognition network, it is identified for the vocal print to target object, obtains vocal print feature discre value；
And/or iris recognition network, it is identified for the iris to target object, obtains iris feature discre value.
In a kind of optional scheme, it is equipped with door in living things feature recognition network 13, is had not been obtained for filtering
The output valve of living things feature recognition network corresponding to the biological characteristic of target object.Increase door knot in living things feature recognition network
Structure increases separately a door knot in recognition of face network, fingerprint recognition network, Application on Voiceprint Recognition network and iris recognition network
Structure, if some or certain several feature identification networks do not get response characteristic information, door is closed, and is prevented further
Identification, comparison, output feature discre value.It is assumed that only recognition of face network does not get facial image, then recognition of face net
The door of network is closed, and directly output face feature discre value wy is 0；Fingerprint recognition network, Application on Voiceprint Recognition network and iris are known
Other network exports normal value wp, ws and wi.The living things feature recognition value matrix finally established is W=[0 wp ws wi].It is added
Door can rationally utilize computing resource, can save unnecessary calculating when the biological information input not responded to
Resource.
Identification authentication system provided by the embodiment of the present invention can be used for executing the identity of any embodiment of that present invention offer
Authentication method has corresponding functional module, realizes identical beneficial effect.
The present invention also provides a kind of storage medium, computer program is stored in the storage medium, wherein the calculating
Machine program is arranged to execute the identity identifying method that any embodiment of that present invention provides when operation.It realizes identical beneficial to effect
Fruit.
Those skilled in the art will readily recognize that above-mentioned each preferred embodiment can be free under the premise of not conflicting
Ground combination, superposition.
The above is only a preferred embodiment of the present invention, is not intended to restrict the invention, to those skilled in the art,
The invention can have various changes and changes.It is all within the spirit and principles of the present invention made by any modification, equivalent replacement,
Improve etc., it should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of identity identifying method characterized by comprising
Obtain at least two biological informations of target object；
Format analysis processing is carried out to the biological information；
To format, treated that biological information identifies respectively, obtains corresponding living things feature recognition value；
The corresponding living things feature recognition value of each biological information respectively as matrix element, biological characteristic knowledge is established
Other value matrix；
All elements in the living things feature recognition value matrix are maximized, authentication value is obtained；
The size for comparing the authentication value and given threshold, when the authentication value is not less than given threshold, identity
It authenticates successfully；Otherwise, authentication fails.
2. identity identifying method as described in claim 1, which is characterized in that described to carry out format to the biological information
Processing, comprising:
When the biological information is picture format, then corresponding color image is converted into gray level image；
When the biological information is audio format, then corresponding audio is pre-processed, pretreatment mode includes point
One or more of frame adding window, end-point detection, voice de-noising.
3. identity identifying method as described in claim 1, which is characterized in that described respectively to format treated biological characteristic
Information is identified, comprising:
Using living things feature recognition network, the biological information after the format analysis processing is identified respectively.
4. identity identifying method as described in claim 3, which is characterized in that described to format, treated that biology is special respectively
Reference breath is identified, corresponding living things feature recognition value is obtained, comprising:
It is respectively that the biological information after the format analysis processing is similar to the progress of the biological information of preset target object
Degree compares, and obtains the corresponding living things feature recognition value of each biological information；
Alternatively, the biological characteristic of the target object of biological information and third party position after the format analysis processing is believed respectively
Breath carries out similarity comparison, obtains the corresponding living things feature recognition value of each biological information.
5. such as identity identifying method of any of claims 1-4, which is characterized in that obtain at least the two of target object
The age of target object is obtained while kind biological information；After authentication success, the biological information is stored
For the standard biological characteristic information of target object.
6. a kind of identification authentication system characterized by comprising
First acquisition unit, for obtaining the biological information of target object；
Processing unit, for carrying out format analysis processing to the biological information of acquisition；
Living things feature recognition network obtains corresponding life for treated that biological information identifies to format respectively
Object feature discre value；Also, the corresponding living things feature recognition value of each biological information respectively as matrix element,
Establish living things feature recognition value matrix；
Authentication network obtains identity and recognizes for being maximized to all elements in the living things feature recognition value matrix
Card value；
Judging unit is set for the size of the authentication value and given threshold when the authentication value is not less than
When determining threshold value, authentication success；Otherwise, authentication fails.
7. identification authentication system as claimed in claim 6, which is characterized in that the processing unit further include:
Image processing module, for when the biological information is picture format, being then converted to corresponding color image
Gray level image；
Audio processing modules, for when the biological information is audio format, then corresponding audio being pre-processed,
Pretreatment mode includes one or more of framing adding window, end-point detection, voice de-noising.
8. identification authentication system as claimed in claim 6, which is characterized in that the living things feature recognition network includes:
Recognition of face network is identified for the face to target object, obtains face characteristic discre value；
And/or fingerprint recognition network, it is identified for the fingerprint to target object, obtains fingerprint characteristic discre value；
And/or Application on Voiceprint Recognition network, it is identified for the vocal print to target object, obtains vocal print feature discre value；
And/or iris recognition network, it is identified for the iris to target object, obtains iris feature discre value.
9. identification authentication system as claimed in claim 8, which is characterized in that be equipped with door knot in the living things feature recognition network
Structure, for filtering the output valve of living things feature recognition network corresponding to the biological characteristic for the target object having not been obtained.
10. a kind of storage medium, which is characterized in that be stored with computer program in the storage medium, wherein the computer
Program is arranged to execute method described in any one of claim 1 to 5 when operation.
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| CN111199032A (en) * | 2019-12-31 | 2020-05-26 | 华为技术有限公司 | Identity authentication method and device |
| WO2021135685A1 (en) * | 2019-12-31 | 2021-07-08 | 华为技术有限公司 | Identity authentication method and device |
| CN112232443A (en) * | 2020-11-20 | 2021-01-15 | 中国联合网络通信集团有限公司 | Identity authentication method, device, equipment and storage medium |
| CN112232443B (en) * | 2020-11-20 | 2023-11-24 | 中国联合网络通信集团有限公司 | Identity authentication method, device, equipment and storage medium |
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Application publication date: 20190607 |