CN103559487A - Identity recognition method and system based on skin texture characteristics - Google Patents
Identity recognition method and system based on skin texture characteristics Download PDFInfo
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- CN103559487A CN103559487A CN201310560531.1A CN201310560531A CN103559487A CN 103559487 A CN103559487 A CN 103559487A CN 201310560531 A CN201310560531 A CN 201310560531A CN 103559487 A CN103559487 A CN 103559487A
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Abstract
The invention discloses an identity recognition method and system based on skin texture characteristics. The method comprises the steps that a skin texture image input by a user is obtained; the mass weighted value of the skin texture image is determined; the skin texture image is compared with a preset template image, and thus the maximum skin texture characteristic comparison value is determined; a multiplying result is obtained by multiplying the mass weighted value by the maximum skin texture characteristic comparison value, and a user identity is confirmed to be legal when identity information meets authentication pass conditions, wherein the authentication pass conditions which the identity information meets at least comprise the condition that the multiplying result is larger that a first preset value. According to the identity recognition method and system based on the skin texture characteristics, emphases are laid on the texture and integrity instead of details, and thus the insurmountable difficult problem of zero login disapproval for fingerprints lacking of detailed points in a fingerprint detailed point comparison method is solved.
Description
Technical field
The application relates to biometrics identification technology field, more particularly, relates to a kind of personal identification method and system based on dermatoglyph feature.
Background technology
Biometrics identification technology is to utilize terminal device to gather physiological characteristic and behavioural characteristic, the technology of after treatment identity being differentiated.Compare with traditional identification authentication mode, living things feature recognition have antifalsification good, the advantage such as be easy to carry, be difficult for lose, be difficult for forgeing, therefore have better security, reliability and validity.Along with informationalized develop rapidly, living things feature recognition has become a key character of current era, and the technology of this respect is widely used in banking and insurance business, ecommerce, office automatic, I.D. management, social security, security, the industry such as false proof.Under this background, how to confirm human individual's true identity, protection information safety has become the focus of various countries' research and application.
Existing comparatively ripe living things feature recognition has fingerprint, people's face, iris, hand shape, palmmprint identification etc., the different biological features recognition technology feature of having nothing in common with each other, and as in discrimination and operational efficiency, fingerprint recognition is better than people's face, iris, hand shape, palmmprint etc.; Aspect ease of use, in safe examination system especially in public places, recognition of face is contactless because of it, clean hygiene the most easily allows user accept.Although different living things feature recognitions respectively has its relative merits,, fingerprint recognition is that generally acknowledged technology is the most ripe, one of most widely used living things feature recognition.In at present domestic and international fingerprint recognition; the most frequently used, be also that the technology of most critical is minutiae point algorithm; the core of minutiae point algorithm is extraction and the comparison of minutiae point; but; often there will be at present fingerprint image owing to occurring the reasons such as interference in biology or identifying; making to there will be when being identified at fingerprint image does not have minutiae point or the less and situation about cannot identify of minutiae point, and this just causes often occurring the phenomenon of refusing publishing, and impact is used normally.
Summary of the invention
In view of this, the application provides a kind of personal identification method and system based on dermatoglyph feature, for solving existing recognition methods for few minutiae point or there is no the situation of minutiae point, often occurs refusing publishing the problem of phenomenon.
To achieve these goals, the existing scheme proposing is as follows:
A personal identification method based on dermatoglyph feature, comprising:
Obtain the dermatoglyph image of user's input;
Determine the quality weighted value of described dermatoglyph image;
By described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result, described dermatoglyph image template at least comprises a secondary template image in storehouse;
From a plurality of comparing results, determine that maximum dermatoglyph aspect ratio is to value;
Described quality weighted value and described maximum dermatoglyph aspect ratio are multiplied each other to value, obtain multiplied result, when identity information meets authentication by condition, determine that described user identity is validated user, described identity information meets authentication and at least comprises by condition: described multiplied result is greater than the first preset value.
Preferably, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result process and be specially:
For described dermatoglyph image and described template image, carry out respectively Fourier transform, obtain two corresponding class values;
Any class value in above-mentioned two class values that obtain after Fourier transform is asked to conjugation;
The value that value after conjugation and another width are obtained after Fourier transform is carried out point multiplication operation, and by the result normalization after dot product;
Dot product result after described normalization is asked to Fourier inversion, and ask for the maximal value after absolute value, described maximal value is defined as to comparing result.
Preferably, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result process and be specially:
For described dermatoglyph image, extract different skin textural characteristics;
By described a plurality of different skin textural characteristics constitutive characteristic vectors;
For described template image, extract different skin textural characteristics;
A plurality of different skin textural characteristics corresponding by described template image form template characteristic vector;
Contrast described eigenvector and described template characteristic vector, draw the comparison value based on feature;
Comparison value based on feature described in normalization, is defined as comparison result by the comparison value based on feature after described normalization.
Preferably, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result process and be specially:
For described dermatoglyph image, extract different skin textural characteristics;
By described a plurality of different skin textural characteristics constitutive characteristic vectors;
For described template image, extract different skin textural characteristics;
A plurality of different skin textural characteristics corresponding by described template image form template characteristic vector;
Contrast described eigenvector and described template characteristic vector, draw the comparison value based on feature;
Comparison value based on feature described in normalization, obtains the comparison value based on feature;
For described dermatoglyph image and described template image, carry out respectively Fourier transform, obtain two corresponding class values;
Any class value in above-mentioned two values that obtain after Fourier transform is asked to conjugation;
The value that value after conjugation and another width are obtained after Fourier transform is carried out point multiplication operation, and by the result normalization after dot product;
Dot product result after described normalization is asked to Fourier inversion, and ask for the maximal value after absolute value, described maximal value is defined as to feature correlation;
Described comparison value and described feature correlation based on feature is weighted, and weighting coefficient is chosen between 0 and 1, and comprises 0 and 1, and the value after weighting is defined as to comparison result.
Preferably, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast before obtaining comparing result and further comprise:
Described dermatoglyph image is carried out to pre-service, and described pre-service is: normalization, filtering, angularity correction, displacement correction and stretching.
Preferably, the quality weighted value of described definite described dermatoglyph image is specially:
Calculate dermatoglyph rule degree, calculate dermatoglyph encircled energy, calculate dermatoglyph quality of balance and/or calculate dermatoglyph uniformity coefficient;
Described dermatoglyph rule degree, described dermatoglyph encircled energy, described dermatoglyph quality of balance and/or described dermatoglyph uniformity coefficient are weighted, draw weighted value.
Preferably, the method further comprises: obtain user input identification code and with the identification code comparison that prestores;
Described identity information meets authentication and also comprises by condition: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.
An identification system based on dermatoglyph feature, comprising:
Dermatoglyph information receiving module, for receiving the dermatoglyph image of user's input;
Picture quality judge module, is connected with described dermatoglyph information receiving module, for determining the quality weighted value of described dermatoglyph image;
Dermatoglyph information identification module, be connected with described picture quality judge module, for described dermatoglyph image contrast and obtains comparing result with the template image in predefined dermatoglyph image template storehouse respectively, from a plurality of comparing results, determine that maximum dermatoglyph aspect ratio is to being worth;
Identity determination module, be connected with described dermatoglyph information identification module, for the quality weighted value of described dermatoglyph image and described maximum dermatoglyph aspect ratio are multiplied each other and obtain multiplied result value, when identity information meets authentication by condition, determine that described user identity is validated user, described identity information meets authentication and at least comprises by condition: described multiplied result is greater than the first preset value.
Preferably, described system also comprises:
Dermatoglyph image pretreatment module, one end is connected with described picture quality judge module, and the other end is connected with described dermatoglyph information identification module, for described dermatoglyph image is carried out to pre-service.
Preferably, described picture quality judge module comprises:
Rule degree picture quality judgement submodule, for utilizing rule degree to pass judgment on picture quality;
Encircled energy picture quality judgement submodule, for utilizing encircled energy to pass judgment on picture quality;
Depth of parallelism picture quality judgement submodule, for utilizing the depth of parallelism to pass judgment on picture quality;
Uniformity coefficient picture quality judgement submodule, passes judgment on picture quality for being beneficial to uniformity coefficient.
Preferably, described system also comprises:
User identification code authentication module, for receive user input identification code and with the identification code comparison that prestores;
Described identity information meets authentication and also comprises by condition: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.
From above-mentioned technical scheme, can find out, technical scheme disclosed by the invention, by obtaining dermatoglyph image, quality to dermatoglyph image is weighted, then the dermatoglyph image that contrast gathers and the dermatoglyph feature of the template image prestoring, show that maximum dermatoglyph aspect ratio is to value, last combining image quality weighted value and maximum dermatoglyph aspect ratio, to value, are confirmed user's identity.The application is pettifog not, but focuses on texture, focuses on joint greatly, has therefore solved in fingerprint minutiae comparison method, and for few minutiae point or there is no minutiae point fingerprint image, what be difficult to overcome zero refuses publishing a difficult problem.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiment of the application, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the disclosed a kind of personal identification method process flow diagram based on dermatoglyph feature of the embodiment of the present application;
Fig. 2 is the disclosed a kind of dermatoglyph image of another embodiment of the application and template image contrast process flow diagram;
Fig. 3 is disclosed another the dermatoglyph image of another embodiment of the application and template image contrast process flow diagram;
Fig. 4 is disclosed another the dermatoglyph image of another embodiment of the application and template image contrast process flow diagram;
Fig. 5 is disclosed another the personal identification method process flow diagram based on dermatoglyph feature of another embodiment of the application;
Fig. 6 is the method flow diagram of the quality weighted value of the disclosed a kind of definite dermatoglyph image of another embodiment of the application;
Fig. 7 is disclosed another the personal identification method process flow diagram based on dermatoglyph feature of another embodiment of the application;
Fig. 8 is the disclosed a kind of identification system composition diagram based on dermatoglyph feature of another embodiment of the application;
Fig. 9 is disclosed another the identification system composition diagram based on dermatoglyph feature of another embodiment of the application;
Figure 10 is the disclosed a kind of picture quality judge module composition diagram of another embodiment of the application;
Figure 11 is the composition diagram of disclosed another identification system based on dermatoglyph feature of another embodiment of the application;
Figure 12 is the disclosed a kind of user identification code authentication module composition diagram of another embodiment of the application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only the application's part embodiment, rather than whole embodiment.Embodiment based in the application, those of ordinary skills are not making all other embodiment that obtain under creative work prerequisite, all belong to the scope of the application's protection.
Embodiment 1
Fig. 1 is the personal identification method process flow diagram based on dermatoglyph feature according to the embodiment of the present application 1.
As shown in Figure 1, the method comprises the following steps:
Step 101: the dermatoglyph image that obtains user's input;
By specific region of skin is carried out to image acquisition, obtain the dermatoglyph image of user's input.
Step 102: the quality weighted value of determining described dermatoglyph image;
Particularly, after obtaining the dermatoglyph image of user's input, can judge the quality of described dermatoglyph image, and all give picture quality weighted value to corresponding image, this weighted value is any one number between 0-1, comprises 0 and 1.Certainly in order to accelerate recognition speed, also can be without picture quality deterministic process, directly giving picture quality weighted value is 1.If picture quality is too poor, can select to point out user to re-start dermatoglyph collection, can not point out yet.
Step 103: by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result, described dermatoglyph image template at least comprises a width template image in storehouse;
Particularly, dermatoglyph image template that can pre-stored one or more users in dermatoglyph image template storehouse, an if pre-stored user's template, only need contrast the dermatoglyph image obtaining and the template prestoring, if pre-stored a plurality of users' template, need to contrast successively each template and the dermatoglyph image obtaining, obtain a plurality of comparing results.
Step 104: determine that from a plurality of comparing results maximum dermatoglyph aspect ratio is to value;
Particularly, from a plurality of comparing results, determine a maximal value, this maximal value is defined as to maximum dermatoglyph aspect ratio to value.
Step 105: described quality weighted value and described maximum dermatoglyph aspect ratio are multiplied each other to value, obtain multiplied result, when identity information meets authentication by condition, determine that described user identity is validated user, described identity information meets authentication and at least comprises by condition: described multiplied result is greater than the first preset value.
Particularly, want pre-stored first preset value before identification, the size of this value is determined according to many experiments by user.When identification, consider the quality weighted value of image and dermatoglyph aspect ratio to value, judge the magnitude relationship of the two multiplied result and the first preset value, when multiplied result is greater than the first preset value, confirm that user identity is validated user, allow user's login, otherwise confirm that user identity is disabled user, refusal user login.
Further, the application's technical scheme can either be carried out the checking of 1:1, also can carry out the matching operation of 1:N.
In the present embodiment, owing to not needing pettifog, but focus on texture, emphasis joint greatly, therefore reduced the problem of refusing publishing causing owing to lacking minutiae point.
Embodiment 2
Referring to Fig. 2, be the disclosed a kind of dermatoglyph image of the application and template image contrast process flow diagram.
The method comprises:
Step 201: carry out respectively Fourier transform for described dermatoglyph image and described template image, obtain two corresponding class values;
Step 202: any class value in above-mentioned two class values that obtain after Fourier transform is asked to conjugation;
Step 203: the value that the value after conjugation and another width are obtained after Fourier transform is carried out point multiplication operation, and by the result normalization after dot product;
Step 204: the dot product result after described normalization is asked to Fourier inversion, and ask for the maximal value after absolute value, described maximal value is defined as to comparing result.
The dermatoglyph image comparison method providing by the present embodiment, selection dermatoglyph is abundant, less hair disturbs, the detection analyzed area that expression shape change is compared to robust, do not overemphasize the details of texture, therefore solved in the fingerprint minutiae comparison method of current popular, for few minutiae point fingerprint image or there is no minutiae point fingerprint image, zero certificate that is difficult to overcome is stepped on a difficult problem, and this method is not only applicable to fingerprint front, fingerprint side image authentication with compare, and applicable articulations digitorum manus is positive, the articulations digitorum manus back side, palm, the image authentications such as face with compare.
Embodiment 3
As Fig. 3, be disclosed another the dermatoglyph image of the application and template image contrast process flow diagram.
The method comprises:
Step 301: for described dermatoglyph image, extract different skin textural characteristics;
Step 302: by described a plurality of different skin textural characteristics constitutive characteristic vectors;
Step 303: for described template image, extract different skin textural characteristics;
Step 304: a plurality of different skin textural characteristics corresponding by described template image form template characteristic vector;
Step 305: contrast described eigenvector and described template characteristic vector, draw the comparison value based on feature;
Step 306: the comparison value based on feature described in normalization, is defined as comparison result by the comparison value based on feature after described normalization.
Further, the template characteristic vector in the application can be also that user preserves in advance, so just without step 303 and step 304, directly extracts template characteristic vector.In the present embodiment, according to the direction of dermatoglyph, frequency, thickness, the depth, node type, number of nodes, the quantity of texture primitive, texture based on distribution, local features etc. carry out extraction and the contrast of feature, the detection analyzed area that expression shape change is compared to robust, do not overemphasize the details of texture, therefore solved in the fingerprint minutiae comparison method of current popular, for few minutiae point fingerprint image or there is no minutiae point fingerprint image, zero certificate that is difficult to overcome is stepped on a difficult problem, and this method is not only applicable to fingerprint front, fingerprint side image authentication with compare, and applicable articulations digitorum manus is positive, the articulations digitorum manus back side, palm, the image authentications such as face with compare.
Embodiment 4
As Fig. 4, be disclosed another the dermatoglyph image of the application and template image contrast process flow diagram.
The method comprises:
Step 401: for described dermatoglyph image, extract different skin textural characteristics;
Step 402: by described a plurality of different skin textural characteristics constitutive characteristic vectors;
Step 403: for described template image, extract different skin textural characteristics;
Step 404: a plurality of different skin textural characteristics corresponding by described template image form template characteristic vector;
Step 405: contrast described eigenvector and described template characteristic vector, draw the comparison value based on feature;
Step 406: the comparison value based on feature described in normalization, obtains the comparison value based on feature;
Step 411: carry out respectively Fourier transform for described dermatoglyph image and described template image, obtain two corresponding class values;
Step 412: any class value in above-mentioned two class values that obtain after Fourier transform is asked to conjugation;
Step 413: the value that the value after conjugation and another width are obtained after Fourier transform is carried out point multiplication operation, and by the result normalization after dot product;
Step 414: the dot product result after described normalization is asked to Fourier inversion, and ask for the maximal value after absolute value, described maximal value is defined as to feature correlation;
Step 415: described comparison value and described feature correlation based on feature is weighted, and weighting coefficient is chosen between 0 and 1, and comprises 0 and 1, and the value after weighting is defined as to comparison result.
In the present embodiment, by considering two kinds of dermatoglyph image comparison methods, the detection analyzed area that expression shape change is compared to robust, do not overemphasize the details of texture, therefore solved in the fingerprint minutiae comparison method of current popular, for few minutiae point fingerprint image or there is no minutiae point fingerprint image, zero certificate that is difficult to overcome is stepped on a difficult problem, and this method is not only applicable to fingerprint front, fingerprint side image authentication and compares, and the image authentication such as applicable articulations digitorum manus front, the articulations digitorum manus back side, palm, face with compare.
Embodiment 5
As Fig. 5, it is disclosed another the personal identification method process flow diagram based on dermatoglyph feature of the application.
In the present embodiment, step 501,502,504,505,506 and embodiment mono-in step 101,102,103,104,105 identical, the present embodiment is to have increased step 503 between the step 102 of embodiment mono-and step 103: described dermatoglyph image is carried out to pre-service, and pretreated mode is: normalization, filtering, angularity correction, displacement correction and stretching.
By dermatoglyph image is carried out to pre-service, can make the dermatoglyph feature that extracts clearer, make authentication method more accurate.
Embodiment 6
As Fig. 6, it is the method flow diagram of the quality weighted value of the disclosed a kind of definite dermatoglyph image of the application.
The method comprises:
Step 601: calculate dermatoglyph rule degree, calculate dermatoglyph encircled energy, calculate dermatoglyph quality of balance and/or calculate dermatoglyph uniformity coefficient;
Step 602: described dermatoglyph rule degree, described dermatoglyph encircled energy, described dermatoglyph quality of balance and/or described dermatoglyph uniformity coefficient are weighted, draw weighted value.
In the present embodiment, can select any one or more in above-mentioned four criterions, if select a plurality of criterions, the corresponding value of drawing to each criterion is weighted processing, finally consider the size of the value after total weighting, carry out the quality of evaluating skin texture image.
Embodiment 7
As Fig. 7, it is the disclosed another personal identification method process flow diagram based on dermatoglyph feature of the application.
On the basis of embodiment 1, step 101-104 does not change, and has just further increased step 701: obtain user input identification code and with the identification code comparison that prestores;
Step 105 in embodiment 1 is also changed into step 702 accordingly: described quality weighted value and described maximum dermatoglyph aspect ratio are multiplied each other to value, obtain multiplied result; When identity information meets authentication by condition, determine that described user identity is validated user, described identity information meets authentication and comprises by condition: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.
In the present embodiment, further increased user identification code verification step, described identification code can be specifically: user name, password, job number, identification card number, mobile phone, terminal serial number etc., the mode reading can be contact and contactless.And the authentication while finally determining user identity by condition is: judgement textural characteristics recognition result and identity code result, if the two is all consistent, determine user identity.
The personal identification method based on dermatoglyph feature that the present embodiment provides adopts multimode mode, when carrying out the identification of dermatoglyph feature, also carries out identification code and determines, makes the application's technical scheme safer, reliable when application.
And the application's personal identification method just can be applied on existing hardware resource, after also can revising a little hardware resource, can apply, there is not the difficult problem in hardware design, making.
Embodiment 8
Disclosed herein as well is a kind of identification system based on dermatoglyph feature, referring to Fig. 8, this system comprises:
Dermatoglyph information receiving module 81, for receiving the dermatoglyph image of user's input;
Picture quality judge module 82, is connected with described dermatoglyph information receiving module, for determining the quality weighted value of the described dermatoglyph image that described dermatoglyph information receiving module 81 sends;
Particularly, picture quality judge module 82, for picture quality is evaluated, gives every width image a weighted value, and this value, for any one number between 0-1, comprises 0 and 1.Certainly in order to accelerate recognition speed, also can be without picture quality deterministic process, directly giving picture quality weighted value is 1.If picture quality is too poor, can select to point out user to re-start dermatoglyph collection, can not point out yet.
Dermatoglyph information identification module 83, be connected with described picture quality judge module 82, by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result, from a plurality of comparing results, determine that maximum dermatoglyph aspect ratio is to value;
System described in the present embodiment judges by 82 pairs of picture qualities of picture quality judge module, and give certain weighted value, by 83 pairs of dermatoglyph images of dermatoglyph information identification module, compare, obtain maximum dermatoglyph aspect ratio to value, consider the quality weighted value of image and maximum dermatoglyph aspect ratio to value, judge the magnitude relationship of the two multiplied result and the first preset value, when multiplied result is greater than the first preset value, confirm user identity, allow user's login, otherwise confirmation user identity is disabled user, refuses its login.
In the present embodiment, owing to not needing pettifog, but focus on texture, emphasis joint greatly, therefore reduced the problem of refusing publishing causing owing to lacking minutiae point.
Referring to Fig. 9, on the basis of above-described embodiment, this system further can comprise dermatoglyph image pretreatment module 85, dermatoglyph image pretreatment module 85 one end are connected with picture quality judge module 82, the other end is connected with dermatoglyph information identification module 83, for described dermatoglyph image is carried out to pre-service.
Embodiment 9
As Figure 10, it is the disclosed picture quality judge module of the application composition diagram.
Picture quality judge module 82 specifically comprises:
Rule degree picture quality judgement submodule 821, for utilizing rule degree to pass judgment on picture quality;
Encircled energy picture quality judgement submodule 822, for utilizing encircled energy to pass judgment on picture quality;
Depth of parallelism picture quality judgement submodule 823, for utilizing the depth of parallelism to pass judgment on picture quality;
Uniformity coefficient picture quality judgement submodule 824, passes judgment on picture quality for being beneficial to uniformity coefficient.
In the present embodiment, picture quality judge module 82 can be any one or more in rule degree picture quality judgement submodule 821, encircled energy picture quality judgement submodule 822, depth of parallelism picture quality judgement submodule 823, uniformity coefficient picture quality judgement submodule 824, also can jointly form multi-modality image quality judge module 82 through weighting.Rule degree picture quality judgement submodule 821, encircled energy picture quality judgement submodule 822, depth of parallelism picture quality judgement submodule 823, uniformity coefficient picture quality judgement submodule 824, respectively from part, the overall situation, frequency domain, the time domain of image, obtain different image quality judging methods.
Wherein, rule degree picture quality judgement submodule 821, refer to and utilize rule degree to pass judgment on picture quality, utilize texture rule degree to weigh the degree of dermatoglyph image texture order, it is the general indices in time domain, the dermatoglyph image texture that rule degree is little is mixed and disorderly, and streakline arrangement is orderly for the large dermatoglyph image of rule degree; Encircled energy picture quality judgement submodule 822, refers to and utilizes encircled energy to pass judgment on picture quality, in frequency domain, extract the essential characteristic of dermatoglyph image, it is the general indices on frequency domain, embodies the shared deal of dominant frequency; Depth of parallelism picture quality judgement submodule 823, it is the index of weighing the parallel degree of dermatoglyph image local streakline, it waits piece to divide to dermatoglyph image, dermatoglyph image in each fritter is generally alternately comprised of crestal line and valley line, the all crestal line directions of dermatoglyph image that the depth of parallelism is good are similar to parallel, and the poor image of the depth of parallelism is contrary; Uniformity coefficient picture quality judgement submodule 824, refer to and utilize uniformity coefficient to pass judgment on picture quality, texture uniformity coefficient is for characterizing the ratio of the gray-scale pixels in various degree of dermatoglyph topography, it is the local indexes in time domain, the dermatoglyph image ridge paddy of good evenness is alternative arrangement and equally distributed, so the Black white pixel rate in each piece is stable, and the poor dermatoglyph image of uniformity coefficient is because its ridge paddy streakline is not obvious, crackle is many and assorted, parameter between piece and piece is very large, so its ratio is inconstant.
Embodiment 10
As Figure 11, it is the composition diagram of disclosed another identification system based on dermatoglyph feature of the application.
On the basis of embodiment 8 or 9, the disclosed system of the application also comprises:
User identification code authentication module 111, for receiving the identification code of user's input and relatively authenticating with the identification code that prestores;
Accordingly, embodiment 8 or 9 identity determination module 84 are also changed into identity determination module 112: judge that described identity information meets the condition that authentication passes through and further comprises: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.
In the present embodiment, further increased user identification code authentication module 111, for receiving the identification code of user's input, and compared with the identification code prestoring, thereby draw identification code authentication result.And authentication during identity determination module 112 final definite user identity by condition is: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.Be that identity determination module 112 is confirmed user identity by two aspects.
The identification system based on dermatoglyph feature that the present embodiment provides adopts multimode mode, when carrying out skin characteristic identification, also carries out identification code authentication, makes the application's technical scheme safer when practical application, reliable.
And the application's identification system just can be applied on existing hardware resource, after also can revising a little hardware resource, can apply, there is not the difficult problem in hardware design, making.
Embodiment 11
As Figure 12, it is the composition diagram of the application's user identification code authentication module 111.
This user identification code authentication module 111 specifically comprises:
Input identification code authentication sub module 1111, for carrying out identification code authentication according to the identification code of described user's input;
Contact identification code authentication sub module 1112, carries out identification code authentication for the contact terminal recognition code according to described user;
Identification code authentication sub module 1114 based on coupling, for carrying out identification code authentication according to physiology or the behavioural characteristic of described user's input.
Wherein, input identification code authentication sub module 1111, can compare the identification code of pre-stored identification code and user's input, obtains authentication result, and this input identification code can be user name, job number, identification card number, cell-phone number, password etc.; Contact identification code authentication sub module 1112 can be compared pre-stored identification code and terminal recognition code, obtains authentication result, and the input of this contact identification code can be IC-card, magnetic card etc.; Contactless knowledge is recognized code authentication submodule 1113 and pre-stored identification code and terminal recognition code can be compared equally, obtain authentication result, the input of this contactless identification code, can be Wireless IC card, also to determine with the distance authentication of user distance by GPS etc. etc.; Identification code authentication sub module 1114 based on coupling can be passed through fingerprint, people's face, iris, hand shape, palmmprint etc., realizes authentication.
Finally, also it should be noted that, in this article, relational terms such as the first and second grades is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply and between these entities or operation, have the relation of any this reality or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and each embodiment stresses is the difference with other embodiment, between each embodiment identical similar part mutually referring to.
Above-mentioned explanation to the disclosed embodiments, makes professional and technical personnel in the field can realize or use the application.To the multiple modification of these embodiment, will be apparent for those skilled in the art, General Principle as defined herein can be in the situation that do not depart from the application's spirit or scope, realization in other embodiments.Therefore, the application will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (11)
1. the personal identification method based on dermatoglyph feature, is characterized in that, comprising:
Obtain the dermatoglyph image of user's input;
Determine the quality weighted value of described dermatoglyph image;
By described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result, described dermatoglyph image template at least comprises a secondary template image in storehouse;
From a plurality of comparing results, determine that maximum dermatoglyph aspect ratio is to value;
Described quality weighted value and described maximum dermatoglyph aspect ratio are multiplied each other to value, obtain multiplied result, when identity information meets authentication by condition, determine that described user identity is validated user, described identity information meets authentication and at least comprises by condition: described multiplied result is greater than the first preset value.
2. method according to claim 1, is characterized in that, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result process and be specially:
For described dermatoglyph image and described template image, carry out respectively Fourier transform, obtain two corresponding class values;
Any class value in above-mentioned two class values that obtain after Fourier transform is asked to conjugation;
The value that value after conjugation and another width are obtained after Fourier transform is carried out point multiplication operation, and by the result normalization after dot product;
Dot product result after described normalization is asked to Fourier inversion, and ask for the maximal value after absolute value, described maximal value is defined as to comparing result.
3. method according to claim 1, is characterized in that, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result process and be specially:
For described dermatoglyph image, extract different skin textural characteristics;
By described a plurality of different skin textural characteristics constitutive characteristic vectors;
For described template image, extract different skin textural characteristics;
A plurality of different skin textural characteristics corresponding by described template image form template characteristic vector;
Contrast described eigenvector and described template characteristic vector, draw the comparison value based on feature;
Comparison value based on feature described in normalization, is defined as comparison result by the comparison value based on feature after described normalization.
4. method according to claim 1, is characterized in that, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast and obtain comparing result process and be specially:
For described dermatoglyph image, extract different skin textural characteristics;
By described a plurality of different skin textural characteristics constitutive characteristic vectors;
For described template image, extract different skin textural characteristics;
A plurality of different skin textural characteristics corresponding by described template image form template characteristic vector;
Contrast described eigenvector and described template characteristic vector, draw the comparison value based on feature;
Comparison value based on feature described in normalization, obtains the comparison value based on feature;
For described dermatoglyph image and described template image, carry out respectively Fourier transform, obtain two corresponding class values;
Any class value in above-mentioned two values that obtain after Fourier transform is asked to conjugation;
The value that value after conjugation and another width are obtained after Fourier transform is carried out point multiplication operation, and by the result normalization after dot product;
Dot product result after described normalization is asked to Fourier inversion, and ask for the maximal value after absolute value, described maximal value is defined as to feature correlation;
Described comparison value and described feature correlation based on feature is weighted, and weighting coefficient is chosen between 0 and 1, and comprises 0 and 1, and the value after weighting is defined as to comparison result.
5. according to the method described in claim 1,2,3 or 4, it is characterized in that, described by described dermatoglyph image respectively with predefined dermatoglyph image template storehouse in template image contrast before obtaining comparing result and further comprise:
Described dermatoglyph image is carried out to pre-service, and described pre-service is: normalization, filtering, angularity correction, displacement correction and stretching.
6. method according to claim 1, is characterized in that, the quality weighted value of described definite described dermatoglyph image is specially:
Calculate dermatoglyph rule degree, calculate dermatoglyph encircled energy, calculate dermatoglyph quality of balance and/or calculate dermatoglyph uniformity coefficient;
Described dermatoglyph rule degree, described dermatoglyph encircled energy, described dermatoglyph quality of balance and/or described dermatoglyph uniformity coefficient are weighted, draw weighted value.
7. method according to claim 1, is characterized in that, the method further comprises: obtain user input identification code and with the identification code comparison that prestores;
Described identity information meets authentication and also comprises by condition: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.
8. the identification system based on dermatoglyph feature, is characterized in that, comprising:
Dermatoglyph information receiving module, for receiving the dermatoglyph image of user's input;
Picture quality judge module, is connected with described dermatoglyph information receiving module, for determining the quality weighted value of described dermatoglyph image;
Dermatoglyph information identification module, be connected with described picture quality judge module, for described dermatoglyph image contrast and obtains comparing result with the template image in predefined dermatoglyph image template storehouse respectively, from a plurality of comparing results, determine that maximum dermatoglyph aspect ratio is to being worth;
Identity determination module, be connected with described dermatoglyph information identification module, for the quality weighted value of described dermatoglyph image and described maximum dermatoglyph aspect ratio are multiplied each other and obtain multiplied result value, when identity information meets authentication by condition, determine that described user identity is validated user, described identity information meets authentication and at least comprises by condition: described multiplied result is greater than the first preset value.
9. system according to claim 8, is characterized in that, described system also comprises:
Dermatoglyph image pretreatment module, one end is connected with described picture quality judge module, and the other end is connected with described dermatoglyph information identification module, for described dermatoglyph image is carried out to pre-service.
10. system according to claim 8 or claim 9, is characterized in that, described picture quality judge module comprises:
Rule degree picture quality judgement submodule, for utilizing rule degree to pass judgment on picture quality;
Encircled energy picture quality judgement submodule, for utilizing encircled energy to pass judgment on picture quality;
Depth of parallelism picture quality judgement submodule, for utilizing the depth of parallelism to pass judgment on picture quality;
Uniformity coefficient picture quality judgement submodule, passes judgment on picture quality for being beneficial to uniformity coefficient.
System described in 11. according to Claim 8,9 or 10, is characterized in that, described system also comprises:
User identification code authentication module, for receive user input identification code and with the identification code comparison that prestores;
Described identity information meets authentication and also comprises by condition: the identification code that described multiplied result is greater than the first preset value and described user input is consistent with the identification code that prestores.
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| PCT/CN2014/073446 WO2015070549A1 (en) | 2013-11-12 | 2014-03-14 | Skin texture collection and identity recognition method and system |
| US15/036,275 US20160300094A1 (en) | 2013-11-12 | 2014-03-14 | Skin texture collection and identity recognition method and system |
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