CN109871729A - Personal identification method and identification system - Google Patents

Personal identification method and identification system Download PDF

Info

Publication number
CN109871729A
CN109871729A CN201711263293.2A CN201711263293A CN109871729A CN 109871729 A CN109871729 A CN 109871729A CN 201711263293 A CN201711263293 A CN 201711263293A CN 109871729 A CN109871729 A CN 109871729A
Authority
CN
China
Prior art keywords
checked
image
pore
fingerprint
region
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711263293.2A
Other languages
Chinese (zh)
Inventor
曲志刚
朱虹
辛胜
陆震生
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Oxi Technology Co Ltd
Shanghai Luoji Technology Co Ltd
Original Assignee
Shanghai Luoji Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Luoji Technology Co Ltd filed Critical Shanghai Luoji Technology Co Ltd
Priority to CN201711263293.2A priority Critical patent/CN109871729A/en
Publication of CN109871729A publication Critical patent/CN109871729A/en
Pending legal-status Critical Current

Links

Abstract

A kind of personal identification method and identification system, the personal identification method include: acquisition original image;According to preset first window width, the first processing is carried out to the original image, obtains fingerprint image to be checked;According to preset second window width, second processing is carried out to the original image, obtains pore image to be checked, second window width is greater than first window width;Identification is carried out according to the fingerprint image to be checked and the pore image to be checked.Technical solution of the present invention can not increase hardware cost, not change modular structure, under the premise of not changing Image Acquisition mode, not increasing acquisition cost, In vivo detection be realized, to improve the safety of identification.

Description

Personal identification method and identification system
Technical field
The present invention relates to field of biological recognition, in particular to a kind of personal identification method and identification system.
Background technique
With the extensive use of fingerprint identification technology, fingerprint imitation technology also occurs therewith, utilizes the materials such as resin, silica gel The false fingerprint manufactured is easy for the general fingerprint sensing device that can out-trick, thus to the peace of optical fingerprint imaging modules Full property causes challenge.
In order to improve the safety of optical fingerprint imaging modules, false fingerprinting detection technique comes into being.False fingerprint detection Technology is usually to pass through to judge whether sample fingerprint comes from living body finger print, and realize the resolution to true and false fingerprint, existing detection In method, a part is to realize that another part is to pass through by biological characteristics such as finger temperature, skin conductance, pulse blood oxygens What the comparison between several fingerprint images was realized.
In such a way that biological characteristic carries out In vivo detection, needs to introduce additional hardware device, hardware cost can be caused Increase, it is also possible to the structure that will affect existing fingerprint imaging mould group, especially in optical fingerprint imaging modules, mould group knot The variation of structure may will affect the optical path of imaging ray, to influence the quality of obtained fingerprint image;And it is carried out by comparing The mode of In vivo detection needs to acquire several fingerprint images, or one section of image sequence of acquisition, needs to adjust the fingerprint image Acquisition mode, it is also possible to the increase of acquisition cost can be caused.
Summary of the invention
Problems solved by the invention is to provide a kind of personal identification method and identification system, do not increase hardware at This, under the premise of not changing Image Acquisition mode, realizes In vivo detection, to improve the safety of identification.
To solve the above problems, the present invention provides a kind of personal identification method, comprising: obtain original image;According to default The first window width, to the original image carry out first processing, obtain fingerprint image to be checked;It is right according to preset second window width The original image carries out second processing, obtains pore image to be checked, and second window width is greater than first window width;According to institute It states fingerprint image to be checked and the pore image to be checked carries out identification.
Correspondingly, the present invention also provides a kind of identification systems, comprising: acquisition module, the acquisition module is for obtaining Obtain original image;First processing module is previously stored with the first window width, the first processing module in the first processing module According to first window width, the first processing is carried out to the original image, to obtain fingerprint image to be checked;Second processing module, The second window width is previously stored in the Second processing module, second window width is greater than first window width, second processing mould Root tuber carries out second processing according to second window width, to the original image, to obtain pore image to be checked;Identification module, institute Identification module is stated according to the fingerprint image to be checked and the pore image to be checked, carries out identification.
Compared with prior art, technical solution of the present invention has the advantage that
In technical solution of the present invention, first processing and described the are carried out to the original image by different window widths Two processing, obtain the fingerprint image to be checked and the pore image to be checked respectively;Later, according to the fingerprint image to be checked and The pore image to be checked carries out identification.Since the fingerprint image to be checked and the pore image to be checked are all according to institute State original image acquisition, that is to say, that the basis source of the identification is image information, additional there is no need to introduce Hardware device will not influence the structure of existing fingerprint imaging mould group;And the fingerprint image to be checked and the pore figure to be checked As being obtained according to the different disposal of same secondary original image, there is no need to change the acquisition mode of existing fingerprint image, It not will increase acquisition cost;So technical solution of the present invention can not increase hardware cost, not change Image Acquisition mode Under the premise of, the safety of fingerprint individual verification is effectively improved, takes into account high imaging quality, low hardware cost and Gao An to reach The purpose of full property.
In optinal plan of the present invention, In vivo detection is carried out according to the pore image to be checked;In the fingerprint image to be checked With the fingerprint template successful match prestored, and pass through the In vivo detection when, judge that identification passes through.Therefore the technology of the present invention Scheme can judge whether sample fingerprint comes from living body finger print, according to the different disposal of a secondary original image to realize true and false finger The resolution of line, without introducing additional hardware, not increasing original image quantity, so technical solution of the present invention can not increase firmly Part cost under the premise of not increasing acquisition cost, realizes In vivo detection, so as to effectively improve the safety of fingerprint imaging mould group Property, and it is able to maintain that the acquisition of high quality fingerprint image.
In optinal plan of the present invention, the step of obtaining the original image includes: to provide light source and imaging sensor;It is described Light caused by light source forms the reflected light for carrying finger print information in sensing face;Described image sensor acquisition is described anti- Light is penetrated to obtain the original image, that is to say, that the original image is obtained by way of optical imagery.Pass through Optical mode obtains the way of the original image, can effectively improve the resolution ratio of obtained original image, is conducive to expand The processing space of subsequent first processing and the second processing, can effectively improve obtained fingerprint image to be checked and to be checked The precision and accuracy of pore image, are conducive to the raising of identification accuracy and success rate.
Detailed description of the invention
Fig. 1 is the flow diagram of one embodiment of personal identification method of the present invention;
Fig. 2 is the schematic diagram of the section structure for the imaging modules that the present invention obtains the original image;
Fig. 3 is the partial enlarged view of original image obtained in embodiment illustrated in fig. 1;
Fig. 4 is that original image shown in Fig. 3 obtains fingerprint image to be checked after the first processing in embodiment illustrated in fig. 1 Partial enlarged view;
Fig. 5 be in embodiment illustrated in fig. 1 original image shown in Fig. 3 through obtaining pore image to be checked after second processing Partial enlarged view;
Fig. 6 is the flow diagram treated tester according to the pore image to be checked and carry out In vivo detection step;
Fig. 7 is the functional block diagram of one embodiment of identification system of the present invention;
Fig. 8 is the functional block diagram of In vivo detection unit 320 in identification system shown in Fig. 7.
Specific embodiment
It can be seen from background technology that vacation fingerprinting detection technique in the prior art can cause the increasing of hardware cost, acquisition cost Greatly.
To solve the technical problem, the present invention provides a kind of personal identification method and identification system, passes through difference Window width to the original image carry out it is described first processing and the second processing, obtain respectively the fingerprint image to be checked and The pore image to be checked;Later, identification is carried out according to the fingerprint image to be checked and the pore image to be checked.Due to The different information for two images that identification is obtained based on the different disposal by same secondary original image and realize, because This can not increase hardware cost, not change modular structure, the premise for not changing Image Acquisition mode, not increasing acquisition cost Under, In vivo detection is realized, to improve the safety of identification.
To make the above purposes, features and advantages of the invention more obvious and understandable, with reference to the accompanying drawing to the present invention Specific embodiment be described in detail.
With reference to Fig. 1, the flow diagram of one embodiment of personal identification method of the present invention is shown.
Specifically, the personal identification method includes: that step S100 is first carried out, original image is obtained;Then, step is executed Rapid S210 carries out the first processing to the original image, obtains fingerprint image to be checked according to preset first window width;Execute step Rapid S220 carries out second processing to the original image according to preset second window width, obtains pore image to be checked, and described the Two window widths are greater than first window width;Later, step S300 is executed, according to the fingerprint image to be checked and the pore figure to be checked As carrying out identification.
The personal identification method, by carrying out first processing and the second processing to same secondary original image, The fingerprint image to be checked and the pore image to be checked are obtained respectively, and according to the fingerprint image to be checked and the hair to be checked Hole image carries out identification.Since the fingerprint image to be checked and the pore image to be checked are according to same secondary original image It obtains, so technical solution of the present invention can be under the premise of not increasing hardware cost, not changing Image Acquisition mode, effectively The safety for improving fingerprint individual verification, to achieve the purpose that take into account high imaging quality, low hardware cost and high security.
The technical solution of the invention will now be described in detail with reference to the accompanying drawings personal identification method specific embodiment.
As shown in Figure 1, step S100 is first carried out, original image is obtained.The original image is subsequent identification Foundation and basis.In conjunction with reference Fig. 2, the cross-section structure signal that the present invention obtains the imaging modules of the original image is shown Figure.As shown in Fig. 2, obtaining the original image by optical fingerprint imaging modules in the present embodiment.Therefore the original is obtained The step of beginning image includes: to provide light source 101 and imaging sensor 102.
In the present embodiment, the light source 101 is the area source positioned at 102 lower section of described image sensor, to generate Gao Jun The light of evenness;Glass cover-plate 103 is provided with above described image sensor 102, the glass cover-plate 103 is backwards to described image The surface of sensor 102 is the sensing face.
After finger pressing is in the sensing face, light caused by the light source 101 forms carrying in sensing face There is the reflected light of finger print information;Described image sensor 102 acquires the reflected light to obtain the original image.Pass through optics Formula fingerprint imaging mould group has high stability, strong antijamming capability;And optical fingerprint imaging modules are according to optical anti- It penetrates and realizes fingerprint image acquisition, therefore optically original image obtained resolution ratio with higher with refraction principle (fingerprint image that resolution ratio can be up to 1000dpi or more) can provide bigger processing space for subsequent image processing, from And be conducive to the precision and accuracy of subsequent fingerprint image to be checked and pore image to be checked, be conducive to identification accuracy and at The raising of power.
In conjunction with reference Fig. 3, the partial enlarged view of original image obtained in embodiment illustrated in fig. 1 is shown.
It needs since the original image is subsequent through handling the fingerprint image to be checked that can be obtained for carrying out identification Picture and pore image to be checked, and the process handled necessarily will cause the original image and be compressed, and lead to information loss, because This in order to guarantee subsequent fingerprint image to be checked obtained and pore image to be checked includes enough information to realize identification, The included information of the original image cannot be very little, so the file of the original image cannot be too small.
In the present embodiment, the digit of the original image is greater than 8, i.e., the described original image is the image of 8bit.Specifically, The digit 12 or 16 of the original image, i.e., the described original image are the image of 12bit or the image of 16bit.So such as Fig. 3 Shown, the original image includes more skin information, not only includes that fingerprint ridge 301 and fingerprint valley 302 are constituted Finger print information also includes the distributed intelligence of human body pore 303 in fingerprint ridge 301.
It continues to refer to figure 1, after obtaining the original image, step S210 is executed, according to preset first window width, to institute It states original image and carries out the first processing, obtain fingerprint image to be checked;And step S220, according to preset second window width, to institute It states original image and carries out second processing, obtain pore image to be checked, second window width is greater than first window width.
It should be noted that described in step S210 first processing and step S220 described in second processing the step of sequence regardless of Successively.In the present embodiment, second processing described in the first processing and step S220 described in step S210 carries out simultaneously.The present invention other In embodiment, after first processing is completed, the second processing is carried out;Or after the second processing is completed, carry out The second processing.
First processing is for obtaining the fingerprint image to be checked;The second processing is for obtaining the pore to be checked Image.Specifically, first processing includes: that the original image is compressed or sharpened using first window width, To obtain the fingerprint image to be checked;The second processing includes: to be pressed using second window width the original image Contracting sharpens, to obtain the fingerprint image to be checked.
In the present embodiment, after first processing and the second processing, fingerprint image to be checked obtained and institute The digit of one or two of the pore image to be checked image obtained is 8, i.e., the described fingerprint image to be checked and described to be checked At least one in pore image is 8bit image.
Original image shown in Fig. 3 is shown in embodiment illustrated in fig. 1 through the first processing in conjunction with reference Fig. 4 and Fig. 5, Fig. 4 The partial enlarged view of obtained fingerprint image to be checked afterwards;Fig. 5 shows in embodiment illustrated in fig. 1 original image shown in Fig. 3 through The partial enlarged view of pore image to be checked is obtained after two processing.
Window width (Window Width) indicates the range of signal strength indication shown by image.Window width is smaller, is obtained after processing The picture contrast obtained is higher, but image compression ratio is higher, and information flow vector is bigger;Window width is bigger, is obtained after processing Image contrast it is lower, but image compression ratio is lower, and information flow vector reduces.
As shown in Figure 3 and Figure 4, first window width is smaller, so handling compared with the original image through described first Later, fingerprint image to be checked contrast with higher obtained, i.e., fingerprint ridge 301 and fingerprint valley in fingerprint image to be checked 302 difference is more apparent, is conducive to the extraction of fingerprint feature information, is the guarantee of subsequent identification high success rate;But compared with Small compression window width also makes the information content of the fingerprint image to be checked less, the first processing described in more information in original image It is lost in the process.
As shown in Figure 4 and Figure 5, second window width is larger, so compared with the fingerprint image to be checked, through described second After processing, the contrast of pore image to be checked obtained is lower, but the image compression ratio of the pore image to be checked compared with Small, information flow vector reduces, and the distributed intelligence of human body pore 303 in fingerprint ridge is more remained, to make subsequently through institute The distribution for stating human body pore 303 realizes that In vivo detection is possibly realized.
It should be noted that the ratio of second window width and first window width is in 1.1 to 10 ranges in the present embodiment It is interior.The ratio of second window width and first window width should not be too large, also unsuitable too small.
If the ratio of second window width and first window width is excessive, first window width is too small, described second Window is excessive, and the too small compression ratio that can make the fingerprint image to be checked of first window width is excessive, information flow vector is excessive, may It is incomplete to will cause fingerprint ridge and fingerprint valley in the fingerprint image to be checked, to influence the extraction of subsequent fingerprint characteristic information, shadow The success rate of identification is rung, second window, which crosses conference, makes that the pore image compression ratio to be checked is too small, contrast is too low, It is likely to result in the extraction of sweat pore information in the pore image to be checked, is also unfavorable for improving the success rate of identification;It is described If the ratio of the second window width and first window width is too small, first window width is excessive, and second window is too small, described First window width, which crosses conference, keeps the contrast of the fingerprint image to be checked too low, fingerprint ridge and refers in fingerprint image to be checked obtained The difference of line paddy is smaller, also will affect the extraction of subsequent fingerprint characteristic information, influences the success rate of identification, second window It is too small to make that the pore image compression ratio to be checked is excessive, information flow vector is excessive, it is likely to result in the pore image to be checked The loss of middle sweat pore information influences In vivo detection success rate to influence the extraction of subsequent pore characteristic information.
After obtaining the fingerprint image to be checked and the pore image to be checked, step S300 is executed, according to described to be checked Fingerprint image and the pore image to be checked carry out identification.
Since the fingerprint image to be checked and the pore image to be checked are obtained according to the original image, also It is to say, the basis source of the identification is that image information will not influence existing there is no need to introduce additional hardware device The structure of fingerprint imaging mould group;And the fingerprint image to be checked and the pore image to be checked are all according to same secondary original graph What the different disposal of picture obtained, there is no need to change the acquisition mode of existing fingerprint image, it not will increase acquisition cost;So this Inventive technique scheme can effectively improve Fingerprint Identity under the premise of not increasing hardware cost, not changing Image Acquisition mode The safety of identification, to achieve the purpose that take into account high imaging quality, low hardware cost and high security.
Specifically, the step of carrying out identification includes: to treat tester according to the pore image to be checked and carry out living body Detection;The person to be detected is matched into the fingerprint image to be checked with the fingerprint template prestored by the In vivo detection When function, judge that the person to be detected passes through identification.
According to the different disposal of a secondary original image, judge whether sample fingerprint comes from living body finger print, to realize true and false finger The resolution of line, without introducing additional hardware, not increasing original image quantity, so technical solution of the present invention can not increase firmly Part cost under the premise of not increasing acquisition cost, realizes In vivo detection, false fingerprint can be effectively prevent, so as to effectively mention The safety of high fingerprint imaging mould group, and it is able to maintain that the acquisition of high quality fingerprint image.
In the present embodiment, according to the pore image to be checked, treating the step of tester carries out In vivo detection includes: basis The density of pore or the relative distance of pore carry out the In vivo detection in the pore image to be checked.
With reference to Fig. 6, shows and shown according to the process that the pore image to be checked treats tester's progress In vivo detection step It is intended to.
Specifically, the step of carrying out the In vivo detection includes: that step S301 is first carried out, according to preset area, to institute It states pore image to be checked and carries out homalographic subregion;Then step S302 is executed, according to each region of pore image to be checked Contrast selectes region to be checked;Step S303 is executed later, according to the quantity of pore or the phase of pore in the region to be checked It adjusts the distance and carries out the In vivo detection, when the quantity of the pore is within the scope of preset living body amount threshold, alternatively, pore Relative distance within the scope of preset living body distance threshold when, judge the person to be detected by the In vivo detection.
Subregion is carried out to the pore image to be checked, and selectes the way in region to be checked, the living body can be effectively improved The accuracy rate of detection, and obtain higher detection efficiency realizes taking into account for Detection accuracy and efficiency.
In the present embodiment, the preset area is greater than 0.1mm × 0.1mm.The preset area should not it is too small also should not be too Greatly;If the preset area is too big, the area in the region to be checked will increase, to will increase the In vivo detection process In calculation amount, increase requirement to equipment computing capability and storage capacity, it is also possible to will cause the inefficiency of In vivo detection The problem of;If the preset area is too small, the accuracy of the In vivo detection may be will affect, influence the standard of In vivo detection True rate.It, can be with since the size and the In vivo detection accuracy rate and In vivo detection efficiency of the preset area are related By the way that the size of the preset area is rationally arranged, to adjust the personal identification method accuracy rate and efficiency, reaches and take into account The purpose of accuracy rate and efficiency.
Specifically, in the present embodiment, the step of selecting region to be checked include: to the pore image to be checked carry out subregion it Afterwards, the contrast in each region in the pore image to be checked is obtained;Using the maximum region of contrast as the region to be checked.
Contrast refer to light and shade region in piece image it is most bright it is white and most dark it is black between different brightness levels survey Amount, disparity range is bigger, and representative comparison is bigger, and the smaller representative comparison of disparity range is smaller.Therefore the bigger region of contrast, people Chaeta hole is more obvious, therefore sets the maximum region of contrast to the way in region to be checked, can effectively improve pore positioning Accuracy, be conducive to the raising of the In vivo detection accuracy rate.
It should be noted that using the way in the maximum region of contrast as the region to be checked be only an example.This hair In bright other embodiments, can also using one or more regions of the contrast in preset threshold range to be checked as it is described to Test region.
Using one or more regions of the contrast in preset threshold range to be checked as the way in the region to be checked, It can reduce requirement of the identification system to the pore image to be checked, the requirement to hardware device be effectively reduced, lead to After the threshold range to be checked is rationally arranged, taking into account for In vivo detection success rate and efficiency can be realized.In addition, being existed with contrast When multiple regions in preset threshold range to be checked are respectively as the region to be tested, according to hair in the multiple region to be tested The average value of the relative distance of the average value or pore of hole number carries out the In vivo detection.According to the multiple area to be checked The average value of number of pores carries out the way of the In vivo detection in domain, can effectively improve the efficiency of the In vivo detection, have Conducive to the acquisition of In vivo detection high success rate.
After selecting the region to be checked, step S303 is executed, the In vivo detection is carried out.Specifically, step S303, into The step of row In vivo detection includes: the pore extracted in the region to be checked;The quantity of extracted pore is counted, and is compared The quantity of obtained pore and the living body amount threshold range;The distance between adjacent pore is measured, and compares obtained hair Hole distance and the living body distance threshold range;When the quantity of the pore is within the scope of the living body amount threshold, or When the relative distance of pore is within the scope of the living body distance threshold, judge that the person to be detected passes through the In vivo detection.
So when counting the quantity of obtained pore within the scope of the living body amount threshold, or in the opposite of pore When distance is within the scope of the living body distance threshold or number of pores is within the scope of the living body amount threshold, and the hair When the relative distance in hole is within the scope of the living body distance threshold, judge that the person to be detected passes through the In vivo detection.
Wherein, the quantity of pore is greater than 2 in the region to be checked, so measuring the distance between adjacent pore and comparing The relative distance of obtained pore and the living body away from the step of threshold range include: measure between any two pore away from From judging pore in the region to be checked when distance is within the scope of the living body distance threshold between any two pore Relative distance in the living body threshold range.
In other embodiments of the invention, using multiple regions of the contrast in preset threshold range to be checked as institute When stating region to be tested, the step of In vivo detection includes: the pore extracted in each region to be checked;Count each standby The quantity of pore in region, and the quantity of the pore in more each region to be checked and the living body amount threshold range;Measurement The distance between adjacent pore in each region to be checked, and compare the relative distance of pore and institute in obtained each region to be checked State living body distance threshold range;When the quantity of the pore in each region to be checked is within the scope of the living body amount threshold, Or in each region to be checked pore relative distance within the scope of the living body distance threshold when, judge the person to be detected Pass through the In vivo detection.
In other of the invention embodiments, using multiple regions of the contrast in preset threshold range to be checked as When the region to be tested, count in each standby region after the quantity of pore, with the living body amount threshold range ratio compared with Before, the step of the In vivo detection further include: obtain the average value of number of pores in the multiple region to be checked;Therefore with it is described The step of living body amount threshold range compares can be with are as follows: by the average value of number of pores in the multiple region to be checked with it is described Living body amount threshold range is compared.Similar, it measures in each region to be checked after the distance between adjacent pore, with institute Before stating living body distance threshold range relatively, the step of the In vivo detection further include: obtain phase in the multiple region to be checked The average value of distance between adjacent pore;So the step of compared with the living body distance threshold range, can be with are as follows: will be described more The average value of distance is compared with the living body distance threshold range between adjacent pore in a region to be checked.Therefore, judge The person to be detected passes through the step of In vivo detection can be with are as follows: the average value of number of pores in the multiple region to be checked In the living body amount threshold range or in the multiple region to be checked between adjacent pore the average value of distance described When living body distance threshold range, judge that the person to be detected passes through the In vivo detection.
In the present embodiment, after the person to be verified is by the In vivo detection, by the fingerprint image to be checked and in advance The fingerprint template deposited is compared, the fingerprint image to be checked with prestore fingerprint template successful match when, judgement it is described to Probatio inspectionem pecuoarem person passes through identification.
In other embodiments of the invention, first the fingerprint image to be checked can also be compared with the fingerprint template prestored It is right, the step of carrying out the In vivo detection again later;Or the fingerprint image to be checked is compared with the fingerprint template prestored Pair step with carried out simultaneously the step of the In vivo detection.The present invention does not limit the step of In vivo detection and fingerprint image As the sequencing for the step of comparing.
In addition, in order to realize prestoring for fingerprint template, in the present embodiment, before obtaining original image, it is also necessary to carry out The typing of fingerprint template.Specifically, the step of fingerprint template typing includes: to obtain primary template image;Obtain the original After beginning template image, fingerprint template processing is carried out to the primary template image using the first window width, to obtain fingerprint template.
The fingerprint template processing is for obtaining the fingerprint template.Fingerprint template processing includes: using described the One window width is compressed or is sharpened to the primary template image, to obtain the fingerprint template.The fingerprint template processing The fingerprint template is obtained according to first window width, it is identical as the first processing for obtaining the fingerprint image to be checked, so as to Enough guarantee the corresponding relationship between the fingerprint image to be checked and the fingerprint template, to guarantee the success that fingerprint image compares Rate.After obtaining the fingerprint template, fingerprint image obtained is stored, to be and the fingerprint image to be checked It compares and basis is provided.
In the present embodiment, the living body amount threshold and the living body distance threshold are to pre-enter storage.The present invention In other embodiments, the living body amount threshold and the living body can also be obtained during fingerprint template typing apart from threshold Value.
Specifically, the step of obtaining the living body amount threshold and the living body distance threshold includes: that acquisition is described original After template image, the processing of pore template is carried out to the primary template image using the second window width, to obtain pore template;Root According to the pore template, the living body amount threshold and the living body distance threshold are obtained.
The pore template processing is for obtaining the pore template.Pore template processing includes: using described the Two window widths are compressed or are sharpened to the primary template image, to obtain pore template.The pore template handles basis Second window width obtains the pore template, identical as the second processing for obtaining the pore image to be checked, so as to protect The corresponding relationship between the pore image to be checked and the pore template is demonstrate,proved, to guarantee the success rate of In vivo detection.It obtains After pore template, the living body amount threshold and the living body distance threshold are obtained according to the pore template.Specifically, obtaining The step of obtaining the living body amount threshold and the living body distance threshold includes: according to preset extraction area, to the pore Template carries out equal area partition;According to the contrast in each region of pore template, selectes and extract region;Obtain the extraction The quantity of pore or the relative distance of pore in region, respectively as the living body amount threshold and the living body apart from threshold Value.
Equal area partition, and the selected way for extracting region are carried out to the pore template, can effectively improve and be obtained The accuracy of the living body amount threshold and the living body distance threshold can effectively ensure that the accuracy rate and successfully of In vivo detection Rate.In the present embodiment, the extraction area is equal with aforementioned preset area, thus guarantee as far as possible obtained living body amount threshold with The accuracy of living body distance threshold can effectively ensure that the accuracy rate and success rate of In vivo detection.In other embodiments of the invention, The extraction area can also be unequal with aforementioned preset area, by that can control and be obtained to the setting for extracting area The accuracy of living body amount threshold and living body distance threshold is obtained, thus before guaranteeing the In vivo detection accuracy rate and success rate It puts, guarantees detection efficiency, reach taking into account for efficiency and success rate.In the present embodiment, the selected step for extracting region Technical solution, with reference to the technical solution of the selected step in the aforementioned region to be checked, details are not described herein by the present invention.
After selecting the extraction region, the pore extracted in region is extracted, and count in the extraction region The distance between the quantity of pore and adjacent pore, respectively as the living body amount threshold and the living body distance threshold, and Storage, provides basis from for subsequent In vivo detection.In the present embodiment, the quantity of pore and adjacent extracted in region is counted The technical solution of the distance between pore, with reference to the technical solution of aforementioned In vivo detection, details are not described herein by the present invention.
Correspondingly, the present invention also provides an identification systems.With reference to Fig. 7, identification system one of the present invention is shown The functional block diagram of embodiment.
The identification system includes: acquisition module 100, and the acquisition module 100 is for obtaining original image;First Processing module 210 is previously stored with the first window width in the first processing module 210, and the first processing module 210 is according to institute The first window width is stated, the first processing is carried out to the original image, to obtain fingerprint image to be checked;Second processing module 220, it is described The second window width is previously stored in Second processing module 220, second window width is greater than first window width, Second processing module 220 carry out second processing according to second window width, to the original image, to obtain pore image to be checked;Identification module 300, the identification module 300 carries out identification according to the fingerprint image to be checked and the pore image to be checked.
The first processing module 210 first processing carried out to the original image according to the first window width with obtain it is described to Examine fingerprint image;The Second processing module 210 carries out second processing to the original image according to the second window to obtain State pore image to be checked;The identification module 300 carries out identity according to the fingerprint image to be checked and the pore image to be checked Identification.Since the fingerprint image to be checked and the pore image to be checked are obtained according to same secondary original image, so originally Inventive technique scheme can effectively improve Fingerprint Identity under the premise of not increasing hardware cost, not changing Image Acquisition mode The safety of identification, to achieve the purpose that take into account high imaging quality, low hardware cost and high security.
The acquisition module 100 original image obtained is foundation and the basis of subsequent identification.In conjunction with reference to figure 2, show the schematic diagram of the section structure of acquisition module described in identification system embodiment shown in Fig. 7.As shown in Fig. 2, this In embodiment, the acquisition module 100 is optical fingerprint imaging modules.Specifically, the acquisition module 100 includes: light source 101 and imaging sensor 102.
In the present embodiment, the light source 101 is the area source positioned at 102 lower section of described image sensor, to generate Gao Jun The light of evenness;Glass cover-plate 103 is provided with above described image sensor 102, the glass cover-plate 103 is backwards to described image The surface of sensor 102 is the sensing face.After finger pressing is in the sensing face, light caused by the light source 101 Line forms the reflected light for carrying finger print information in sensing face;Described image sensor 102 acquires the reflected light to obtain The original image.
Optical fingerprint imaging modules have high stability, strong antijamming capability;And optical fingerprint imaging modules are Fingerprint image acquisition is realized according to optical reflection and refraction principle, therefore is set optical profile type for the acquisition module 100 and referred to The way of line imaging modules can obtain the original image with high-resolution, and (resolution ratio can be up to 1000dpi's or more Fingerprint image), can for subsequent image processing bigger processing space be provided, thus be conducive to subsequent fingerprint image to be checked and to The precision and accuracy for examining pore image, are conducive to the raising of identification accuracy and success rate.
In conjunction with reference Fig. 3, the partial enlarged view of the obtained original image of acquisition module 100 described in embodiment illustrated in fig. 7.
It needs since the original image is subsequent through handling the fingerprint image to be checked that can be obtained for carrying out identification Picture and pore image to be checked, and the process handled necessarily will cause the original image and be compressed, and lead to information loss, because This is in order to guarantee subsequent obtained fingerprint image to be checked and pore image to be checked includes enough information to realize identification, institute The included information for stating original image cannot be very little, so the file of the original image cannot be too small.
In the present embodiment, the digit of the original image is greater than 8, i.e., the described original image is the image of 8bit.Specifically, The digit 12 or 16 of the original image, i.e., the described original image are the image of 12bit or the image of 16bit.So such as Fig. 3 Shown, the original image includes more skin information, not only includes that fingerprint ridge 301 and fingerprint valley 302 are constituted Finger print information also includes the distributed intelligence of human body pore 303 in fingerprint ridge 301.
With continued reference to Fig. 7, the first processing module 210 carries out at first the original image with first window width Reason is to obtain the fingerprint image to be checked;The Second processing module 220 carries out the original image with second window width Second processing is to obtain the pore image to be checked.
Specifically, the first processing module 210 is connected with the acquisition module 100, obtained from the acquisition module 100 The original image;First window width, the first processing module 210 are previously stored in the first processing module 210 The original image is compressed or sharpened using first window width, to obtain the fingerprint image to be checked.
The Second processing module 220 is also connected with the acquisition module 100, obtains from the acquisition module 100 described Original image;Second window width is previously stored in the Second processing module 220, the Second processing module 220 uses Second window width is compressed or is sharpened to the original image, to obtain the fingerprint image to be checked.
In the present embodiment, the fingerprint image to be checked obtained of first processing module 210 and the Second processing module The digit of one or two of 220 pore images to be checked obtained image be 8, i.e., the described fingerprint image to be checked and it is described to Examining at least one in pore image is 8bit image.
In conjunction with reference Fig. 4 and Fig. 5, Fig. 4 show first processing module 210 described in embodiment illustrated in fig. 7 obtain to Examine the partial enlarged view of fingerprint image;Fig. 5 show Second processing module 220 described in embodiment illustrated in fig. 7 obtain it is to be checked The partial enlarged view of pore image.
Window width (Window Width) indicates the range of signal strength indication shown by image.Window width is smaller, is obtained after processing Picture contrast it is higher, but image compression ratio is higher, and information flow vector is bigger;Window width is bigger, the figure obtained after processing The contrast of picture is lower, but image compression ratio is lower, and information flow vector reduces.
As shown in Figure 3 and Figure 4, first window width is smaller, so compared with the original image, the first processing mould The fingerprint image contrast with higher to be checked obtained of block 210, i.e., fingerprint ridge 301 and fingerprint valley in fingerprint image to be checked 302 difference is more apparent, is conducive to the extraction of fingerprint feature information, is the guarantee of subsequent identification high success rate;But compared with Small compression window width also makes the information content of the fingerprint image to be checked less, the first processing described in more information in original image It is lost in the process.
As shown in Figure 4 and Figure 5, second window width is larger, so compared with the fingerprint image to be checked, at described second Manage the pore image to be checked obtained of module 220 contrast it is lower, but the image compression ratio of the pore image to be checked compared with Small, information flow vector reduces, and the distributed intelligence of human body pore 303 in fingerprint ridge is more remained, to make subsequently through institute The distribution for stating human body pore 303 realizes that In vivo detection is possibly realized.
It should be noted that the ratio of second window width and first window width is in 1.1 to 10 ranges in the present embodiment It is interior.The ratio of second window width and first window width should not be too large, also unsuitable too small.Second window width and described first If the ratio of window width is excessive, first window width is too small, and second window is excessive, and first window width is too small to make institute The compression ratio for stating fingerprint image to be checked is excessive, information flow vector is excessive, is likely to result in fingerprint ridge in the fingerprint image to be checked With fingerprint valley incompleteness, to influence the extraction of subsequent fingerprint characteristic information, the success rate of identification, second window are influenced Crossing conference makes that the pore image compression ratio to be checked is too small, contrast is too low, is likely to result in hair in the pore image to be checked The extraction of hole information is also unfavorable for improving the success rate of identification;The ratio of second window width and first window width is such as Fruit is too small, then first window width is excessive, and second window is too small, and first window width, which crosses conference, makes the fingerprint image to be checked The contrast of picture is too low, and fingerprint ridge and fingerprint valley difference are smaller in fingerprint image to be checked obtained, also will affect subsequent fingerprint The extraction of characteristic information influences the success rate of identification, and second window is too small to make the pore compression of images to be checked Rate is excessive, information flow vector is excessive, the loss of sweat pore information in the pore image to be checked is likely to result in, to influence subsequent The extraction of pore characteristic information influences In vivo detection success rate.
With continued reference to Fig. 7, the identification module 300 is used for according to the fingerprint image to be checked and the pore image to be checked Carry out identification.
Specifically, as shown in fig. 7, the identification module 300 includes: fingerprint comparison unit 310, the fingerprint matching unit Fingerprint template is previously stored in 310;The fingerprint comparison unit 310 is connected with the first processing module 210, will it is described to Inspection fingerprint image is matched with the fingerprint template;In vivo detection unit 320, the In vivo detection unit 320 and described the Two processing units 220 are connected, and according to the pore image to be checked, treat tester and carry out In vivo detection;Judge recognition unit 330, the judgement recognition unit 330 is and described to be checked in the fingerprint image to be checked and the fingerprint template successful match that prestores When survey person passes through the In vivo detection, judge that the person to be detected passes through identification.
Since the fingerprint image to be checked and the pore image to be checked are obtained according to the original image, also It is to say, the basis of characterization source of the identification module 300 is that image information will not there is no need to introduce additional hardware device Influence the structure of existing fingerprint imaging mould group;And the fingerprint image to be checked and the pore image to be checked are all according to same What the different disposal of secondary original image obtained, therefore the use of the identification module 300 is without changing adopting for existing fingerprint image Mode set not will increase acquisition cost;So technical solution of the present invention can not increase hardware cost, not change Image Acquisition Under the premise of mode, effectively improve the safety of fingerprint individual verification, thus reach take into account high imaging quality, low hardware cost with And the purpose of high security.
Specifically, the In vivo detection unit 320 is according to the density of pore in the pore image to be checked or pore Relative distance carries out the In vivo detection, that is to say, that the fingerprint comparison unit 310 is according to hair in the pore image to be checked The density in hole or the relative distance of pore carry out the In vivo detection.
With reference to Fig. 8, the functional block diagram of In vivo detection unit 320 in identification system shown in Fig. 7 is shown.
Wherein, preset area is previously stored in the In vivo detection unit 320;The In vivo detection unit 320 includes: Partitioning device 321, the partitioning device 321 carry out homalographic subregion to the pore image to be checked according to the preset area; Constituency device 322, after the partitioning device 321 is to the pore image homalographic subregion to be checked, 322, the constituency device According to the contrast in each region of pore image to be checked, region to be checked is selected;Analytical equipment 323, the analytical equipment 323 are right Number of pores in region to be checked described in the pore image to be checked count or survey to the relative distance of pore Amount;It is previously stored with living body amount threshold and living body distance threshold in the analytical equipment 323, when the statistical result of number of pores When within the scope of the living body amount threshold or the measurement result of the relative distance of pore is in the living body distance threshold range When interior, the analytical equipment is also used to judge that the person to be detected passes through the In vivo detection.
The partitioning device 321 can carry out subregion to the pore image to be checked;The constituency device 322 can be selected Region to be checked, therefore the use of the partitioning device 321 and the constituency device 322 can effectively improve the In vivo detection Accuracy rate, and obtain higher detection efficiency realizes taking into account for Detection accuracy and efficiency.
In the present embodiment, preset area is previously stored in the partitioning device 321.Specifically, the preset area is big In 0.1mm × 0.1mm.The preset area should not it is too small also should not be too big;If the preset area is too big, the area to be checked The area in domain is excessive, then may will increase the calculation amount of the analytical equipment 323, increases to equipment computing capability and storage capacity Requirement, it is also possible to the problem of will cause 323 inefficiency of analytical equipment;It, may if the preset area is too small The precision of analysis that will affect the analytical equipment 323 influences the accuracy rate of 320 In vivo detection of In vivo detection unit.
Since the size and In vivo detection accuracy rate and In vivo detection efficiency of the preset area are related, can lead to The size for crossing preset area in rationally setting partitioning device 321, so that it is accurate to adjust 320 In vivo detection of In vivo detection unit Rate and efficiency achieve the purpose that take into account accuracy rate and efficiency.
In the present embodiment, after the partitioning device 321 carries out subregion to the pore image to be checked, the constituency device The contrast in each region of pore image is fond of described in 322 calculating, to select the region to be checked.Specifically, the constituency Device 322 includes: calculator 322a, and the calculator 322a is connected with the partitioning device 321, for obtaining the hair to be checked The contrast in each region in the image of hole;Selector 322b obtains the pore image to be checked according to the calculator 322a In each region contrast, the maximum region of the selector 322b comparative selection degree is as the region to be checked.
Contrast refer to light and shade region in piece image it is most bright it is white and most dark it is black between different brightness levels survey Amount, disparity range is bigger, and representative comparison is bigger, and the smaller representative comparison of disparity range is smaller.Therefore the bigger region of contrast, people Chaeta hole is more obvious, therefore the selector 322b sets the maximum region of contrast to the way in region to be checked, Neng Gouyou Effect improves the accuracy of pore positioning, is conducive to the raising of the In vivo detection accuracy rate.
It should be noted that the maximum region of contrast is set area to be checked by the selector 322b in the present embodiment The way in domain is only an example.In other embodiments of the invention, threshold range to be checked is preset in the selector, it is described One or more regions of the selector comparative selection degree in preset threshold range to be checked are as the region to be tested.
The selector is set to preset one or more regions in threshold range to be checked as institute using contrast The way for stating region to be checked can reduce requirement of the identification system to the pore image to be checked, be effectively reduced pair The requirement of hardware device can be realized the simultaneous of In vivo detection success rate and efficiency by the way that the threshold range to be checked is rationally arranged It cares for.
The contrast in each region in the pore image to be checked, the selector selection are obtained according to the calculator Multiple regions of the contrast in preset threshold range to be checked are as the region to be tested;The analytical equipment, according to described The average value of the relative distance of the average value or pore of number of pores carries out the In vivo detection in multiple regions to be tested.It will The selector is conducive to obtaining for In vivo detection high success rate so set, the efficiency of the In vivo detection can be effectively improved ?.
The analytical equipment 323 is for carrying out In vivo detection.Specifically, the analytical equipment 323 and the selector 322b is connected, and the region to be checked of the pore image to be checked is obtained from the selector 322b, thus extract it is described to Examine the pore in region;The analytical equipment 323 can also count the quantity of extracted pore, and compare the number of obtained pore Amount and the living body amount threshold range;The analytical equipment 323 can also measure the distance between adjacent pore, and compare institute Obtain pore distance and the living body distance threshold range;In addition, the analytical equipment 232 can also be in the quantity of the pore When within the scope of the living body amount threshold or when the relative distance of pore is within the scope of the living body distance threshold, judgement The person to be detected passes through the In vivo detection.
So when counting the quantity of obtained pore within the scope of the living body amount threshold or pore it is opposite When distance is within the scope of the living body distance threshold or number of pores is within the scope of the living body amount threshold, and the hair When the relative distance in hole is within the scope of the living body distance threshold, the analytical equipment 323 can judge that the person to be detected is logical Cross the In vivo detection.
In the present embodiment, the quantity of pore is greater than 2 in the region to be checked, so the measurement of the analytical equipment 323 is appointed It anticipates the distance between two pores, and compares the distance between any two pore and the living body away from threshold range;It is in office When anticipating that distance is within the scope of the living body distance threshold between two pores, the analytical equipment 323 judges the area to be checked The relative distance of pore is in the living body threshold range in domain.
In other embodiments of the invention, the selector comparative selection degree one in preset threshold range to be checked or Multiple regions are as the region to be tested;The analytical equipment can extract the pore in each region to be checked;It can also Count the quantity of pore in each standby region, and the quantity of the pore in more each region to be checked and the living body quantity threshold It is worth range;Additionally it is possible to measure the distance between adjacent pore in each region to be checked, and compare obtained each area to be checked The relative distance of pore and the living body distance threshold range in domain;The quantity of pore in each region to be checked is described The relative distance of pore is in the living body distance threshold range when within the scope of living body amount threshold or in each region to be checked When interior, the analytical equipment judges that the person to be detected passes through the In vivo detection.
In other of the invention embodiments, one in preset threshold range to be checked of the selector comparative selection degree Or multiple regions are as the region to be tested;The analytical equipment can also obtain number of pores in the multiple region to be checked Average value, and the average value of number of pores in the multiple region to be checked is compared with the living body amount threshold range Compared with.Similar, the analytical equipment can also obtain the average value of distance between adjacent pore in the multiple region to be checked, and And the average value of distance between adjacent pore in the multiple region to be checked is compared with the living body distance threshold range. So the average value of number of pores is in the living body amount threshold range or the multiple in the multiple region to be checked In the living body distance threshold range, the analytical equipment can be sentenced the average value of distance between adjacent pore in region to be checked It is disconnected to judge that the person to be detected passes through the In vivo detection.
With continued reference to Fig. 7, the identification module 300 further include: fingerprint comparison unit 310 is used for the fingerprint to be checked Image is compared with the fingerprint template prestored;In the person to be verified by the In vivo detection, and in the finger to be checked When print image and the fingerprint template successful match, the identification module 300 judges that the person to be detected passes through identification.Institute The specific technical solution of fingerprint comparison unit 310 is stated with reference to existing fingerprint comparison technology, details are not described herein by the present invention.
It should be noted that carrying out identification using the identification system to realize prestoring for fingerprint template Before, need to carry out fingerprint template typing, the acquisition module 100, the first processing module 210 and the identification module 300 are also used to carry out the typing of fingerprint template.
Specifically, the acquisition module 100 is also used to obtain primary template image;The first processing module 210 is also used In carrying out fingerprint template processing to the primary template image using the first window width, to obtain fingerprint template;The identification module 100 are also used to store the fingerprint template.Wherein, described after the acquisition module 100 obtains the primary template image First processing module 210 is compressed or is sharpened to the primary template image using first window width, described in obtaining Fingerprint template.The first processing module 210 carries out the fingerprint template processing using first window width, at described first Manage it is identical, so as to guarantee the corresponding relationship between the fingerprint image to be checked and the fingerprint template, to guarantee fingerprint The success rate that image compares.Fingerprint comparison unit 310 in the identification module 300 is connected with the first processing module 210, The fingerprint template is obtained from the first processing module 210 to store, thus for the comparison with the fingerprint image to be checked Basis is provided.
In addition, the living body amount threshold and the living body distance threshold in the present embodiment, in the analytical equipment 323 It is to pre-enter.In other embodiments of the invention, it can also be extracted from primary template image.Specifically, institute It states after acquisition module 100 obtains the primary template image, the Second processing module 220 is using second window width to institute It states primary template image and carries out the processing of pore template, to obtain pore template;The identification module is from the Second processing module The pore template is obtained at 220, and according to the pore template, obtains the living body amount threshold and the living body apart from threshold Value.Wherein, after the primary template image being obtained from the acquisition module 100, the Second processing module 220 uses institute It states the second window width and the primary template image is compressed or sharpened, to obtain pore template.The Second processing module 220 carry out pore template processing using second window widths, identical as the second processing, so as to guarantee it is described to The corresponding relationship between pore image and the pore template is examined, to guarantee the success rate of In vivo detection.
In vivo detection unit 320 in the identification module 300 is after obtaining the pore template, according to the pore Template obtains the living body amount threshold and the living body distance threshold.Specifically, described in the In vivo detection unit 320 Partitioning device 321 carries out equal area partition according to preset extraction area, to the pore template;322, the constituency device According to the contrast in each region of pore template, selectes and extract region;The analytical equipment 323 obtains in the extraction region The quantity of pore or the relative distance of pore, respectively as the living body amount threshold and the living body distance threshold to carry out Storage.
The partitioning device 321 carries out equal area partition, and the selected way for extracting region to the pore template, can The accuracy for effectively improving obtained the living body amount threshold and the living body distance threshold, can effectively ensure that In vivo detection Accuracy rate and success rate.In the present embodiment, the extraction area in the partitioning device 321 is equal with aforementioned preset area, from And guarantee the accuracy of obtained living body amount threshold and the living body distance threshold as far as possible, it can effectively ensure that In vivo detection Accuracy rate and success rate.In other embodiments of the invention, the extraction area in the partitioning device 321 can also be preset with aforementioned Area is unequal, by that can control obtained living body amount threshold and the living body distance to the setting for extracting area The accuracy of threshold value, to guarantee detection efficiency under the premise of guaranteeing the In vivo detection accuracy rate and success rate, reach effect Rate and success rate are taken into account.In the present embodiment, the constituency device 322 technical solution selected to the extraction region, reference The technical solution that the aforementioned constituency device selectes the region to be checked, details are not described herein by the present invention.
After the constituency device 322 selectes the extraction region, the analytical equipment 323 extracts the extraction region Interior pore, and the distance between the quantity of pore and adjacent pore in the extraction region are counted, respectively as the living body Amount threshold and the living body distance threshold, and stored, basis is provided from for subsequent In vivo detection.In the present embodiment, The analytical equipment 323 counts the technical solution reference of the quantity of pore and the distance between adjacent pore in the extraction region The aforementioned analytical equipment 323 carries out the technical solution of In vivo detection, and the present invention repeats no more again.
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute Subject to the range of restriction.

Claims (20)

1. a kind of personal identification method characterized by comprising
Obtain original image;
According to preset first window width, the first processing is carried out to the original image, obtains fingerprint image to be checked;
According to preset second window width, second processing is carried out to the original image, obtains pore image to be checked, second window It is wider than first window width;
Identification is carried out according to the fingerprint image to be checked and the pore image to be checked.
2. personal identification method as described in claim 1, which is characterized in that carry out identification the step of include:
According to the pore image to be checked, treats tester and carry out In vivo detection;
The person to be detected passes through the In vivo detection, and in the fingerprint image to be checked and the fingerprint template successful match prestored When, judge that the person to be detected passes through identification.
3. personal identification method as claimed in claim 2, which is characterized in that according to the pore image to be checked, to be detected Person carry out In vivo detection the step of include:
The In vivo detection is carried out according to the density of pore in the pore image to be checked or the relative distance of pore.
4. personal identification method as claimed in claim 2 or claim 3, which is characterized in that the step of carrying out the In vivo detection include:
According to preset area, homalographic subregion is carried out to the pore image to be checked;
According to the contrast in each region of pore image to be checked, region to be checked is selected;
The In vivo detection is carried out according to the quantity of pore in the region to be checked or the relative distance of pore, in the pore Quantity within the scope of preset living body amount threshold when, alternatively, the relative distance of pore is in preset living body distance threshold model When enclosing interior, judge that the person to be detected passes through the In vivo detection.
5. personal identification method as claimed in claim 4, which is characterized in that the step of selecting region to be checked include:
After carrying out subregion to the pore image to be checked, the contrast in each region in the pore image to be checked is obtained;
Using the maximum region of contrast as the region to be checked;
Alternatively, using one or more regions of the contrast in preset threshold range to be checked as the region to be tested.
6. personal identification method as claimed in claim 5, which is characterized in that with contrast in preset threshold range to be checked Multiple regions respectively as the region to be tested;
According to described in the progress of the average value of the relative distance of the average value of number of pores in the multiple region to be tested or pore In vivo detection.
7. personal identification method as described in claim 1, which is characterized in that the ratio of second window width and first window width Value is in 1.1 to 10 ranges.
8. personal identification method as described in claim 1, which is characterized in that the digit of the original image is greater than 8.
9. personal identification method as claimed in claim 8, which is characterized in that the digit of the original image is 12 or 16.
10. personal identification method as described in claim 1, which is characterized in that the fingerprint image to be checked and the hair to be checked The digit of one or both of hole image image is 8.
11. personal identification method as described in claim 1, which is characterized in that first processing includes: using described first Window width is compressed or is sharpened to the original image, to obtain the fingerprint image to be checked;
The second processing includes: that the original image is compressed or sharpened using second window width, to obtain State fingerprint image to be checked.
12. personal identification method as described in claim 1, which is characterized in that obtain institute by optical fingerprint imaging modules State original image;
The step of obtaining the original image include:
Light source and imaging sensor are provided;
Light caused by the light source forms the reflected light for carrying finger print information in sensing face;
Described image sensor acquires the reflected light to obtain the original image.
13. a kind of identification system characterized by comprising
Acquisition module, the acquisition module is for obtaining original image;
First processing module is previously stored with the first window width in the first processing module, and the first processing module is according to institute The first window width is stated, the first processing is carried out to the original image, to obtain fingerprint image to be checked;
Second processing module, is previously stored with the second window width in the Second processing module, and second window width is greater than described the One window width, Second processing module carries out second processing according to second window width, to the original image, to obtain pore to be checked Image;
Identification module, the identification module carry out identification according to the fingerprint image to be checked and the pore image to be checked.
14. identification system as claimed in claim 13, which is characterized in that the identification module includes:
Fingerprint comparison unit is previously stored with fingerprint template in the fingerprint matching unit;The fingerprint comparison unit with it is described First processing module is connected, and the fingerprint image to be checked is matched with the fingerprint template;
In vivo detection unit, the In vivo detection unit are connected with described the second processing unit, according to the pore image to be checked, It treats tester and carries out In vivo detection;
Judge recognition unit, the judgement recognition unit in the fingerprint image to be checked and the fingerprint template successful match that prestores, And the person to be detected pass through the In vivo detection when, judge that the person to be detected passes through identification.
15. identification system as claimed in claim 14, which is characterized in that the In vivo detection unit is according to described to be checked The density of pore or the relative distance of pore carry out the In vivo detection in pore image.
16. the identification system as described in claims 14 or 15, which is characterized in that deposited in advance in the In vivo detection unit Contain preset area;
The In vivo detection unit includes: partitioning device, and the partitioning device is according to the preset area to the pore to be checked Image carries out homalographic subregion;
Constituency device, after the partitioning device is to the pore image homalographic subregion to be checked, the constituency device is according to institute The contrast for stating each region of pore image to be checked, selectes region to be checked;
Analytical equipment, the analytical equipment count the number of pores in region to be checked described in the pore image to be checked Or the relative distance of pore is measured;Living body amount threshold and living body are previously stored in the analytical equipment apart from threshold Value, when the statistical result of number of pores is within the scope of the living body amount threshold or the measurement knot of the relative distance of pore When fruit is within the scope of the living body distance threshold, the analytical equipment is also used to judge that the person to be detected is examined by the living body It surveys.
17. identification system as claimed in claim 16, which is characterized in that the constituency device includes:
Calculator, the calculator are connected with the partitioning device, for obtaining each region in the pore image to be checked Contrast;
Selector obtains the contrast in each region in the pore image to be checked, the selector according to the calculator The maximum region of comparative selection degree is as the region to be checked.
18. identification system as claimed in claim 16, which is characterized in that the constituency device includes:
Calculator, the calculator are connected with the partitioning device, for obtaining each region in the pore image to be checked Contrast;
Selector is previously stored with threshold value to be checked in the selector, obtains the pore figure to be checked according to the calculator The contrast in each region, one or more areas of the selector comparative selection degree in preset threshold range to be checked as in Domain is as the region to be tested.
19. identification system as claimed in claim 18, which is characterized in that obtained according to the calculator described to be checked The contrast in each region in pore image, multiple areas of the selector comparative selection degree in preset threshold range to be checked Domain is as the region to be tested;
The analytical equipment, according to the relative distance of the average value of number of pores in the multiple region to be tested or pore Average value carries out the In vivo detection.
20. identification system as claimed in claim 13, which is characterized in that the acquisition module includes that light source and image pass Sensor;Light caused by the light source forms the reflected light for carrying finger print information in sensing face;Described image sensor The reflected light is acquired to obtain the original image.
CN201711263293.2A 2017-12-04 2017-12-04 Personal identification method and identification system Pending CN109871729A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711263293.2A CN109871729A (en) 2017-12-04 2017-12-04 Personal identification method and identification system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711263293.2A CN109871729A (en) 2017-12-04 2017-12-04 Personal identification method and identification system

Publications (1)

Publication Number Publication Date
CN109871729A true CN109871729A (en) 2019-06-11

Family

ID=66915932

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711263293.2A Pending CN109871729A (en) 2017-12-04 2017-12-04 Personal identification method and identification system

Country Status (1)

Country Link
CN (1) CN109871729A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110348361A (en) * 2019-07-04 2019-10-18 杭州景联文科技有限公司 Skin texture images verification method, electronic equipment and recording medium
CN110443217A (en) * 2019-08-13 2019-11-12 深圳大学 One kind being based on multispectral fingerprint method for anti-counterfeit and system

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070177774A1 (en) * 2006-01-30 2007-08-02 Nanogate Optoelectronics Robot, Inc. Fingerprint Recognition System Having Detecting Pore and Method Thereof
CN103544421A (en) * 2013-10-16 2014-01-29 无锡优创生物科技有限公司 Comprehensive biological feature recognition system and method
CN103839039A (en) * 2012-11-26 2014-06-04 上海市浦东新区知识产权保护协会 Intelligent authentication device of pore features
CN105740750A (en) * 2014-12-11 2016-07-06 深圳印象认知技术有限公司 Fingerprint in-vivo detection and identification method and apparatus
CN105893978A (en) * 2016-04-25 2016-08-24 联想(北京)有限公司 Information acquisition method and electronic device
CN106657056A (en) * 2016-12-20 2017-05-10 深圳芯启航科技有限公司 Biological feature information management method and system
CN106682473A (en) * 2016-12-20 2017-05-17 深圳芯启航科技有限公司 Method and device for identifying identity information of users

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070177774A1 (en) * 2006-01-30 2007-08-02 Nanogate Optoelectronics Robot, Inc. Fingerprint Recognition System Having Detecting Pore and Method Thereof
CN103839039A (en) * 2012-11-26 2014-06-04 上海市浦东新区知识产权保护协会 Intelligent authentication device of pore features
CN103544421A (en) * 2013-10-16 2014-01-29 无锡优创生物科技有限公司 Comprehensive biological feature recognition system and method
CN105740750A (en) * 2014-12-11 2016-07-06 深圳印象认知技术有限公司 Fingerprint in-vivo detection and identification method and apparatus
CN105893978A (en) * 2016-04-25 2016-08-24 联想(北京)有限公司 Information acquisition method and electronic device
CN106657056A (en) * 2016-12-20 2017-05-10 深圳芯启航科技有限公司 Biological feature information management method and system
CN106682473A (en) * 2016-12-20 2017-05-17 深圳芯启航科技有限公司 Method and device for identifying identity information of users

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张记龙: "《光电信息技术与应用》", 31 August 2009 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110348361A (en) * 2019-07-04 2019-10-18 杭州景联文科技有限公司 Skin texture images verification method, electronic equipment and recording medium
CN110348361B (en) * 2019-07-04 2022-05-03 杭州景联文科技有限公司 Skin texture image verification method, electronic device, and recording medium
CN110443217A (en) * 2019-08-13 2019-11-12 深圳大学 One kind being based on multispectral fingerprint method for anti-counterfeit and system
CN110443217B (en) * 2019-08-13 2022-09-02 深圳大学 Multispectral-based fingerprint anti-counterfeiting method and system

Similar Documents

Publication Publication Date Title
US9195900B2 (en) System and method based on hybrid biometric detection
WO2017113744A1 (en) Fingerprint identifying method and fingerprint identification device
Olsen et al. Finger image quality assessment features–definitions and evaluation
KR101080643B1 (en) Apparatus for Distinguishing Living Body Fingerprint and Method therof
US20060147095A1 (en) Method and system for automatically capturing an image of a retina
US20090232367A1 (en) Identifying device by biometrics information
CN106570489A (en) Living body determination method and apparatus, and identity authentication method and device
US20060171571A1 (en) Systems and methods for quality-based fusion of multiple biometrics for authentication
US20130129164A1 (en) Identity recognition system and method based on hybrid biometrics
CN110046564B (en) Multispectral living fingerprint identification device and identification method
CN109492714A (en) Image processing apparatus and its method
CN112465077B (en) Fruit sugar degree nondestructive detection method and device, computer equipment and storage medium
RU2438182C1 (en) Method of processing banknotes (versions)
WO2007050187A2 (en) Method and system for detecting biometric liveness
CN111462379A (en) Access control management method, system and medium containing palm vein and face recognition
CN106934328A (en) The appraisal procedure and device of a kind of Face datection algorithm
CN106682473A (en) Method and device for identifying identity information of users
CN109871729A (en) Personal identification method and identification system
CN105866042B (en) Based on pixel index unbiased esti-mator method biology index of quality spatial distribution detection method
KR20100123812A (en) Apparatus for distinguishing living body fingerprint and method therof
Wone et al. Impact of environmental conditions on fingerprint systems performance
Whelan et al. On-device prediction for chronic kidney disease
KR102105669B1 (en) System and Method for Judging Biometric Recognition and Fake Biometric Detection of Mobile Device
Valavan et al. Biometric authentication system using finger vein
Linsangan et al. A Spoof Detecting Fingerprint Reader Based on a Combination of Total Internal Reflection and Direct Image Capture

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20190611

WD01 Invention patent application deemed withdrawn after publication