CN205486116U - Mobile terminal based on biological identification - Google Patents
Mobile terminal based on biological identification Download PDFInfo
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- CN205486116U CN205486116U CN201521097407.7U CN201521097407U CN205486116U CN 205486116 U CN205486116 U CN 205486116U CN 201521097407 U CN201521097407 U CN 201521097407U CN 205486116 U CN205486116 U CN 205486116U
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Abstract
The utility model discloses a mobile terminal based on biological identification, read module and wireless communication module including display module, main chip, biological identification chip, fingerprint collection module, vein harvest module, facial image gathering module, iris image gathering module, voice acquisition module, certificate, the built -in memory cell who compares threshold value adjustment unit and be used for saving the biological identification algorithm of biological identification chip, compare threshold value adjustment unit and can compare the threshold value according to the biological characteristics adjustment biological identification that the success was discerned. The utility model discloses a technical scheme, improved security, reliability and the work efficiency of biological identification and verification.
Description
Technical field
This utility model relates to intelligent mobile terminal technical field, particularly relates to a kind of mobile terminal based on bio-identification.
Background technology
Existing biometric verification of identity equipment, in order to ensure reliability and the safety of authentication, the most predetermined fixing threshold values all arranges higher.Owing to being affected by factors such as air themperature humidity, sensor ageing and dry and wet fingers, the fingerprint image quality collected by fingerprint instrument is the best.If predetermined fixing threshold values arranges the highest, fingerprint authentication failure and higher reject rate can be caused, affect fingerprint comparison efficiency；If predetermined fixing threshold values is on the low side, higher misclassification rate can be produced again, affect reliability and safety.The biological comparison threshold values of existing biometric verification of identity equipment is set in advance as changeless numerical value, can not dynamically adjust according to actually used situation, affect the safety of biometric verification of identity, reliability and work efficiency.
Utility model content
In consideration of it, this utility model provides a kind of mobile terminal based on bio-identification, solve existing mobile terminal and cannot dynamically adjust the technical problem of bio-identification comparison threshold value.
According to embodiment of the present utility model, a kind of mobile terminal based on bio-identification is provided, including display module, master chip, bio-identification chip, finger print acquisition module, venous collection module, facial image acquisition module, iris image acquiring module, voice acquisition module, certificate read module and wireless communication module, described bio-identification built-in chip type comparison threshold adjustment unit and for storing the memory element of bio-identification algorithm, described comparison threshold adjustment unit can adjust bio-identification comparison threshold value according to the biological characteristic that success identifies.
Preferably, described comparison threshold adjustment unit includes the statistical module being sequentially connected with, control module and threshold setting module, wherein said statistical module is for adding up number of times that every kind of biological characteristic successfully identifies and calculating every kind of biological characteristic and successfully identify that number of times accounts for all biological characteristics and successfully identifies the frequency of number of times, described threshold setting module is for pre-setting the adjusting thresholds amount that the safety ratio of every kind of biological characteristic is corresponding with characteristic frequency to threshold range, the frequency of the described control module particular organisms feature for calculating according to the described statistical module adjusting thresholds amount corresponding with the characteristic frequency that described threshold setting module pre-sets adjusts the comparison threshold value of described particular organisms feature.
Preferably, described adjustment unit also includes algorithm adjustment unit, and described algorithm adjustment unit can adjust the algorithm of described biological characteristic according to the biological characteristic that success identifies.
Preferably, described mobile terminal based on bio-identification is smart mobile phone, panel computer, notebook computer, music player, intelligent watch, intelligent glasses or Intelligent bracelet.
The mobile terminal based on bio-identification that this utility model embodiment provides, is realized the dynamic optimization of different biological features comparison threshold value, improves the safety of various biometric authentication, reliability and authentication efficiency by comparison threshold adjustment unit.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme in this utility model embodiment, in describing embodiment below, the required accompanying drawing used is briefly described.It should be evident that the accompanying drawing in describing below is only embodiments more of the present utility model, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the structural representation of mobile terminal based on bio-identification in this utility model embodiment.
Fig. 2 is the structural representation of comparison threshold adjustment unit in this utility model embodiment.
Detailed description of the invention
Make to describe in more detail further to the technical solution of the utility model with detailed description of the invention below in conjunction with the accompanying drawings.Obviously, described embodiment is only a part of embodiment of the present utility model rather than whole embodiments.Based on the embodiment in this utility model, the every other embodiment that those of ordinary skill in the art are obtained on the premise of not making creative work, all should belong to the scope of this utility model protection.
In description of the present utility model, it is to be understood that term " first ", " second " etc. are only used for describing purpose, and it is not intended that indicate or hint relative importance.In description of the present utility model, it should be noted that unless otherwise clearly defined and limited, term " is connected ", " connection " should be interpreted broadly, and connects for example, it may be fixing, it is also possible to be to removably connect, or be integrally connected；Can be to be mechanically connected, it is also possible to be electrical connection；Can be to be joined directly together, it is also possible to be indirectly connected to by intermediary.For the ordinary skill in the art, above-mentioned term concrete meaning in this utility model can be understood in conjunction with concrete condition.Additionally, in description of the present utility model, except as otherwise noted, " multiple " are meant that two or more.
In flow chart or at this, any process described otherwise above or method description are construed as, represent and include one or more module for the code of the executable instruction of the step that realizes specific logical function or process, fragment or part, and the scope of preferred implementation of the present utility model includes other realization, wherein can not be by order that is shown or that discuss, including according to involved function by basic mode simultaneously or in the opposite order, perform function, this should be understood by embodiment person of ordinary skill in the field of the present utility model.
Mobile terminal based on bio-identification described in the utility model can be the smart machine arbitrarily with bio-identification function, such as smart mobile phone, panel computer, notebook computer, music player, intelligent watch, intelligent glasses or Intelligent bracelet.It is understood that described mobile terminal based on bio-identification can use separately as biometric identity identification function terminal, it is also possible to the functional part realizing biometric identity identification as electronic system uses.
Fig. 1 is the structural representation of mobile terminal based on bio-identification in this utility model embodiment.As shown in the figure, described mobile terminal based on bio-identification, including display module 10, master chip 20, bio-identification chip 30, finger print acquisition module 40, venous collection module 50, facial image acquisition module 60, iris image acquiring module 70, voice acquisition module 80, certificate read module 90 and wireless communication module 100.
Described display module 10 is arranged on the front of described mobile terminal case based on bio-identification, it can be the electric unit of any electronic information showing described intelligent terminal, such as LCD screen, LED screen and display module, this utility model embodiment chooses display module, for touch control, shows and input information.Described master chip 20 is its main operational processing and control element of described mobile terminal based on bio-identification, can control all of hardware, software module carries out specific program process.
Described finger print acquisition module 40 can be slide fingerprint imageing sensor, pressing type fingerprint image sensor or optical fingerprint image sensor, for gathering the fingerprint image of user.Described venous collection module 50, for gathering the vein image of user's finger.Described facial image acquisition module 60 is arranged on the front of described intelligent mobile terminal, can be COMS sensor or ccd sensor, can the face-image of focused acquisition user automatically.Described iris image acquiring module 70 is similarly disposed at the front of described intelligent mobile terminal and the adjacent locations of described facial image acquisition module 60, for high definition COMS or ccd sensor, can gather the client iris image of fine definition.Described voice acquisition module 80 is to be arranged on the mike in described intelligent mobile terminal front, can gather the voice of typing user.Described certificate read module 90 includes that magnetic card reads unit, can read the subscriber identity information in user identity card and biological information, described biological information can include the biometric templates such as user's fingerprint template, vein template, face template, iris templates and vocal print template registered in advance.Described wireless communication module 100, can be WIFI module or bluetooth module, communicates wirelessly with extraneous electronic equipment for described intelligent mobile terminal.
Described bio-identification chip 30, it is connected with described master chip 20, biometric feature can be extracted from the bio information that biomedical information acquisition module collects according to biometric algorithm and the biological characteristic of extraction and biometric templates compare to identify user identity, and the biological characteristic identified according to success adjusts bio-identification algorithm and comparison threshold value.Described bio-identification algorithm includes fingerprint algorithm, vein algorithm, facial algorithm, iris algorithm and vocal print algorithm.Such as, described finger print acquisition module 40 can gather the fingerprint image of user's finger tip, described bio-identification chip 30 can carry out pretreatment, image enhaucament, denoising, refinement, binaryzation etc. according to built-in fingerprint algorithm to described fingerprint image and process the fingerprint characteristic of extraction user, and it is carried out similarity comparison with the fingerprint template preset, finger print identification verification success, otherwise finger print identification verification failure is judged when both similarities reach preset fingerprint comparison threshold value.
nullIn like manner，Described bio-identification chip 30 can also be by built-in vein algorithm、Facial algorithm、Iris algorithm and vocal print algorithm are to described venous collection mould 50、Facial image acquisition module 60、The vein image that iris image acquiring module 70 and voice acquisition module 80 collect、Face-image、Iris image and voice messaging carry out processing the vein pattern extracting user、Facial characteristics、Iris feature and vocal print feature，And the vein pattern that will extract、Facial characteristics、Iris feature and vocal print feature and the vein template preset、Face template、Iris templates and vocal print template carry out similarity comparison，When both similarities reach default vein comparison threshold value、Face comparison threshold value、Vein identity is judged when iris comparison threshold value and vocal print comparison threshold value、Face identity、Iris identity harmony part of tatooing is proved to be successful，Otherwise vein identity、Face identity、Iris identity harmony is tatooed a part authentication failed.
In the present embodiment, described bio-identification chip 30 is data operation processor, its built-in comparison threshold adjustment unit 31 and memory element 32.Described comparison threshold adjustment unit 31 can adjust bio-identification comparison threshold value according to the biological characteristic that success identifies, described memory element 32 can store biometric templates and biometric algorithm, described biometric algorithm such as fingerprint algorithm, vein algorithm, facial algorithm, iris algorithm and vocal print algorithm.
Fig. 2 is the structural representation of comparison threshold adjustment unit 31 in this utility model embodiment.As it can be seen, described comparison threshold adjustment unit 31 can adjust the comparison threshold value of different biological features according to the frequency of the different biological features that success identifies.
Described comparison threshold adjustment unit 31 includes statistical module 311, control module 312 and the threshold setting module 313 being sequentially connected with.Wherein, number of times that described statistical module 311 successfully identifies for adding up every kind of biological characteristic also calculates every kind of biological characteristic and successfully identifies that number of times accounts for all biological characteristics and successfully identifies the frequency of number of times, described threshold setting module 313 is for the safety ratio the pre-setting every kind of biological characteristic adjusting thresholds amount corresponding with characteristic frequency to threshold range, described control module 312 adjusts the comparison threshold value of described particular organisms feature for the adjusting thresholds amount that the frequency of the particular organisms feature according to the calculating of described statistical module 311 is corresponding with the characteristic frequency that described threshold setting module 313 pre-sets.
Such as, after the Fingerprint Identity successfully identifying user, described statistical module 311 starts to add up times N that fingerprint characteristic successfully identifies and calculates fingerprint characteristic and successfully identify that number of times accounts for all biological characteristics and successfully identifies frequency P=N/M of number of times M, assume that described threshold setting module 313 pre-sets the safety ratio of fingerprint characteristic to threshold range S1-S2, adjusting thresholds amount a that particular fingerprint frequency P is corresponding, when fingerprint characteristic frequency P that described statistical module 311 calculates increases, described particular organisms feature original comparison threshold value L0 is reduced adjusting thresholds amount a that default described characteristic frequency P of described threshold setting module 313 is corresponding by described control module 312, the newest fingerprint comparison adjusting thresholds is L1=L0-a；Otherwise when fingerprint characteristic frequency P that described statistical module 311 calculates reduces, described particular organisms feature original comparison threshold value L0 is increased adjusting thresholds amount a that default described characteristic frequency P of described threshold setting module 313 is corresponding by described control module 312, and the newest fingerprint comparison adjusting thresholds is L1=L0+a.
The different biological features comparison threshold value that described comparison threshold adjustment unit 31 adjusts is less than preset security comparison threshold range.Described safety ratio can ensure that to threshold range described comparison threshold adjustment unit 31 adjusts comparison threshold value in safety range, it is to avoid comparison adjusting thresholds is to too high and produce high reject rate or be adjusted to the too low reliability affecting authentication and accuracy.The adjusting thresholds amount that described characteristic frequency is corresponding, statistical analysis can be carried out by substantial amounts of living things feature recognition experiment to draw, the each characteristic frequency making particular organisms feature can be adjusted to the comparison threshold value of optimum, improves the comparison efficiency of bio-identification while ensureing particular organisms identification safety and reliability.Described comparison threshold adjustment unit 31, for the particular organisms feature that frequently success identifies, the comparison threshold value reducing particular organisms feature can be dynamically adapted according to the frequency of particular organisms feature, while ensureing the safety and reliability of particular organisms identification, improve the comparison efficiency of particular organisms identification；The particular organisms feature identified for less success, can be dynamically adapted the comparison threshold value increasing particular organisms feature, improve the safety and reliability of particular organisms feature identification according to the frequency of particular organisms feature.
Preferably, described bio-identification chip 30 also includes algorithm adjustment unit, described algorithm adjustment unit can adjust bio-identification algorithm according to the biological characteristic that success identifies, biological characteristic success identified and protozoa feature templates are carried out comprehensively to generate new biometric templates.In the present embodiment, after successfully identifying the biological characteristic that described bio-identification chip 30 extracts, every attribute corresponding with protozoa feature templates for every attribute of all minutiae point of described biological characteristic can be carried out suing for peace and calculating meansigma methods by described algorithm adjustment unit, then every meansigma methods attribute synthesis of all minutiae point being formed new biometric templates, the newest biometric templates replaces original biometric templates.By described algorithm adjustment unit, it is achieved that the automatically and dynamically updating of biometric templates, improve reliability and the accuracy of bio-identification.
In sum, the mobile terminal based on bio-identification that this utility model embodiment provides, realized the dynamic optimization of different biological features comparison threshold value by comparison threshold adjustment unit, improve the safety of various biometric authentication, reliability and work efficiency.
Should be appreciated that each several part of the present utility model can realize by hardware, software, firmware or combinations thereof.In the above-described embodiment, multiple steps or method can realize with software or the firmware that storage in memory and is performed by suitable instruction execution system.Such as, if realized with hardware, as in another embodiment, can realize by any one in following technology well known in the art or their combination: there is the discrete logic of logic gates for data signal realizes logic function, there is the special IC of suitable combination logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc..
In the description of this specification, reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. describe specific features, structure, material or the feature meaning to combine this embodiment or example description and are contained at least one embodiment of the present utility model or example.In this manual, the schematic representation to above-mentioned term is not necessarily referring to identical embodiment or example.And, the specific features of description, structure, material or feature can combine in any one or more embodiments or example in an appropriate manner.
Embodiment the most of the present utility model, it will be understood by those skilled in the art that: these embodiments can carry out in the case of without departing from principle of the present utility model and objective multiple change, revise, replace and modification, scope of the present utility model is limited by claim and equivalent thereof.
Claims (4)
1. a mobile terminal based on bio-identification, it is characterized in that, including display module, master chip, bio-identification chip, finger print acquisition module, venous collection module, facial image acquisition module, iris image acquiring module, voice acquisition module, certificate read module and wireless communication module, described bio-identification built-in chip type comparison threshold adjustment unit and for storing the memory element of bio-identification algorithm, described comparison threshold adjustment unit can adjust bio-identification comparison threshold value according to the biological characteristic that success identifies.
2. mobile terminal based on bio-identification as claimed in claim 1, it is characterized in that, described comparison threshold adjustment unit includes the statistical module being sequentially connected with, control module and threshold setting module, wherein said statistical module is for adding up number of times that every kind of biological characteristic successfully identifies and calculating every kind of biological characteristic and successfully identify that number of times accounts for all biological characteristics and successfully identifies the frequency of number of times, described threshold setting module is for pre-setting the adjusting thresholds amount that the safety ratio of every kind of biological characteristic is corresponding with characteristic frequency to threshold range, the frequency of the described control module particular organisms feature for calculating according to the described statistical module adjusting thresholds amount corresponding with the characteristic frequency that described threshold setting module pre-sets adjusts the comparison threshold value of described particular organisms feature.
3. mobile terminal based on bio-identification as claimed in claim 1, it is characterised in that described adjustment unit also includes algorithm adjustment unit, described algorithm adjustment unit can adjust the algorithm of described biological characteristic according to the biological characteristic that success identifies.
4. mobile terminal based on bio-identification as claimed in claim 1, it is characterised in that wherein said mobile terminal based on bio-identification is smart mobile phone, panel computer, notebook computer, music player, intelligent watch, intelligent glasses or Intelligent bracelet.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327710A (en) * | 2016-11-03 | 2017-01-11 | 深圳市亚略特生物识别科技有限公司 | Certificate business self-service device |
| CN106373288A (en) * | 2016-11-03 | 2017-02-01 | 深圳市亚略特生物识别科技有限公司 | Certificate handling self-service terminal |
| CN106373290A (en) * | 2016-11-04 | 2017-02-01 | 深圳市亚略特生物识别科技有限公司 | Intelligent certificate handling device |
| CN106373291A (en) * | 2016-11-04 | 2017-02-01 | 深圳市亚略特生物识别科技有限公司 | Intelligent certificate self-service device |
| CN106408788A (en) * | 2016-11-04 | 2017-02-15 | 深圳市亚略特生物识别科技有限公司 | Certificate handling equipment |
| CN109003607A (en) * | 2018-07-12 | 2018-12-14 | Oppo广东移动通信有限公司 | Audio recognition method, device, storage medium and electronic equipment |
| CN110602391A (en) * | 2019-08-30 | 2019-12-20 | Oppo广东移动通信有限公司 | Photographing control method and device, storage medium and electronic equipment |
| CN111382593A (en) * | 2018-12-27 | 2020-07-07 | 浙江宇视科技有限公司 | Identity verification method and device and electronic equipment |
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2015
- 2015-12-28 CN CN201521097407.7U patent/CN205486116U/en active Active
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327710A (en) * | 2016-11-03 | 2017-01-11 | 深圳市亚略特生物识别科技有限公司 | Certificate business self-service device |
| CN106373288A (en) * | 2016-11-03 | 2017-02-01 | 深圳市亚略特生物识别科技有限公司 | Certificate handling self-service terminal |
| CN106373290A (en) * | 2016-11-04 | 2017-02-01 | 深圳市亚略特生物识别科技有限公司 | Intelligent certificate handling device |
| CN106373291A (en) * | 2016-11-04 | 2017-02-01 | 深圳市亚略特生物识别科技有限公司 | Intelligent certificate self-service device |
| CN106408788A (en) * | 2016-11-04 | 2017-02-15 | 深圳市亚略特生物识别科技有限公司 | Certificate handling equipment |
| CN109003607A (en) * | 2018-07-12 | 2018-12-14 | Oppo广东移动通信有限公司 | Audio recognition method, device, storage medium and electronic equipment |
| CN111382593A (en) * | 2018-12-27 | 2020-07-07 | 浙江宇视科技有限公司 | Identity verification method and device and electronic equipment |
| CN110602391A (en) * | 2019-08-30 | 2019-12-20 | Oppo广东移动通信有限公司 | Photographing control method and device, storage medium and electronic equipment |
| CN110602391B (en) * | 2019-08-30 | 2021-08-24 | Oppo广东移动通信有限公司 | Photographing control method and device, storage medium and electronic equipment |
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Address after: T2-a2-a, Gaoxin industrial village, no.022, Gaoxin South 7th Road, Nanshan District, Shenzhen City, Guangdong Province, 518057 Patentee after: Shenzhen yaliote Technology Co.,Ltd. Address before: T2-a2-a, Gaoxin industrial village, no.022, Gaoxin South 7th Road, Nanshan District, Shenzhen City, Guangdong Province, 518057 Patentee before: SHENZHEN ARATEK BIOMETRICS TECHNOLOGY Co.,Ltd. |
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