CN204667465U - Pay true man's live body authentication system by mails - Google Patents
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- CN204667465U CN204667465U CN201520118621.XU CN201520118621U CN204667465U CN 204667465 U CN204667465 U CN 204667465U CN 201520118621 U CN201520118621 U CN 201520118621U CN 204667465 U CN204667465 U CN 204667465U
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Abstract
The purpose of this utility model overcomes the deficiencies in the prior art, there is provided a kind of and pay true man's live body authentication system by mails, pass through recognition of face, speech recognition, Application on Voiceprint Recognition and lip reading identification figure are as multiple living things feature recognition, whether checking is operator, whether be intelligent live body, communication to the effect that by paying client and server by mails is mutual, the Audio and Video of client acquisition will be paid by mails, face is extracted by paying client by mails, voice, vocal print and lid speech characteristic information, use little data traffic just to import server end into by internet and carry out face, voice, the living things feature recognition of vocal print and lip reading.Native system, without the need to directly contacting with operator, not only verifies whether be operator, and whether checking is intelligent live body, easy to use, and be easy to operator and accept, customer experience is good, and without the need to adding extra hardware.
Description
Technical field
The utility model relates to a kind of verification system of E-Payment, particularly relates to the E-Payment true man live body authentication system in electronic payment process.
background technology:
Along with internet finance, particularly, the Mobile banking of mobile payment and Wei Xin bank etc. develop rapidly, pay by mails, particularly, the identity verification secure problem of mobile payment will become the matter of utmost importance of user in the middle of electronic payment safety field, and the demand for electronic payment safety application will be increasing, and the general safety technique that " general safety " locates can not meet the identity verification secure requirement that client improves day by day.
From 2013, mobile-phone payment viroid is broken out, and comprises the series such as " pseudo-Taobao " virus, " bank burglar " and " Lip river gram roundworm " and pays virus; The payment viroid occurred for 2014 monitors input through keyboard, and the feature of background monitoring cellphone subscriber payment accounts Password Input information, becomes a signal of mobile-phone payment viroid high-riskization evolution.These viruses can read user's note, comprise the mobile phone identifying code of user's payment transaction, and hacker crack the payment accounts of user by identifying code, cancel the settings such as digital certificate, cause grave danger to the safety of Alipay transaction.
For above electronic payment safety risk, propose some identity recognizing technologies based on single creature character recognition both at home and abroad, but the single recognition of face of current more use, Application on Voiceprint Recognition and fingerprint recognition can only the feature of underwriter can effectively be verified, can not ensure operator be I (true man), and cause utilizing photo, the case of fingerprint film and recording crime is often reported in media.
" the paying true man's live body authentication system by mails " that the utility model proposes adopts contactless true man's live body auth method, only need use the camera on E-Payment client device and microphone, whether just can verify whether be true man, be intelligent live body.This project solves existing smart mobile phone simultaneously and panel computer relies on hardware such as increasing fingerprint recognition to increase safety, improve the cost of smart mobile phone and panel computer, say the mobile phone of existing fingerprint recognition from another point of view, the fingerprint of the operator gathered is kept on mobile phone, likely the region of mobile phone storage fingerprint is broken through by hacker, obtain the permanent finger print information of operator, result in greater loss.
Utility model content
The object of utility model overcomes the deficiencies in the prior art, there is provided a kind of and pay true man's live body authentication system by mails, pass through recognition of face, speech recognition, Application on Voiceprint Recognition and lip reading identification figure are as multiple living things feature recognition, whether checking is operator, whether be intelligent live body, communication to the effect that by paying client and server by mails is mutual, the Audio and Video of client acquisition will be paid by mails, face is extracted by paying client by mails, voice, vocal print and lid speech characteristic information, use little data traffic just to import server end into by the Internet and carry out face, voice, the living things feature recognition of vocal print and lip reading.Native system, without the need to directly contacting with operator, not only verifies whether be operator, and whether checking is intelligent live body, easy to use, and be easy to operator and accept, customer experience is good, and without the need to adding extra hardware.
The technology " paying true man's live body authentication system by mails " comprises the authentication of the multiple features fusion such as face characteristic, vocal print feature, phonetic feature and lid speech characteristic, not only can verify whether be me, and whether checking is intelligent live body, this design does not need directly to contact with operator, be easy to operator accept, use simple, customer experience is good.
According to the technical scheme that the utility model provides, pay true man's live body authentication system by mails, it is characterized in that:
Described E-Payment true man live body authentication system comprises: E-Payment client, server end, figure are as follows as multiple biological characteristic recognition module, communication module technical characteristics as multiple biological characteristic extraction module, figure:
Communication module is used for server end and the data interaction paying client by mails;
Pay client by mails to comprise operator's registration, gather raw data, training and figure as multiple biological information extraction module, the figure of server end store operation person as multiple biological information database and figure as multiple biological characteristic recognition module;
During checking, pay the figure of the figure after client process as multiple biological characteristic and server end by mails to compare as the data in multiple biological information storehouse and identify: when the figure gathered is successful as multiple biological information comparison as the figure of multiple biological information and storage, server confirms that operator is true man's live body of registrant, be proved to be successful, E-Payment completes, and upgrades as multiple biological information database the figure of server end in real time; When contrasting unsuccessfully, refusal to pay.
Wherein:
Preferably, described figure mainly comprises following biological characteristic as multiple biological characteristic: face characteristic, phonetic feature, vocal print characteristic sum lid speech characteristic.
Preferably, described figure mainly comprises following biological information as multiple biological information database: face characteristic information, voice characteristics information, vocal print characteristic information and lid speech characteristic information.
Preferably, described figure comprises as multiple biological characteristic extraction module: face characteristic extraction module, vocal print characteristic extracting module, pronunciation extracting module, lid speech characteristic extraction module.
Preferably, described figure comprises as multiple biological characteristic recognition module: face characteristic identification module, vocal print feature identification module, phonetic feature identification module, lid speech characteristic identification module.
Preferably, described matching identification can arrange checking rank voluntarily according to customer requirement, and such as Generally Recognized as safe checking etc. just only need be identified by 2 checkings; Intermediate security checking grade needs at least by 3 kinds of identifications; High safety verification grade needs by all 4 kinds of identifications of face, vocal print, voice and lip reading.
Preferably, described face characteristic identification module mainly contains Face datection, face tracking, image quality analysis, facial image pre-service, face characteristic extraction, recognition of face.
Preferably, described lid speech characteristic identification module mainly comprises Image semantic classification, lip location, lip outline extraction, the extraction of lip Contour extraction, lip contour feature, tagsort and lip reading identification.
Preferably, described vocal print feature identification module mainly comprises voice pre-service, speech characteristic parameter extracts, and sound-groove model mates, and recognition threshold judges.
Preferably, described phonetic feature identification module mainly comprises voice pre-service, speech characteristic parameter extraction, feature mode identification and exports voice identification result.
Compared with prior art: the utility model is on the basis of smart mobile phone, panel computer and PC terminal, do not increase extras, only checking can be completed by camera and microphone, have that equipment cost is low, recognition efficiency is high, and can to identify whether be true man, whether be the authentication function with intelligent live body; The camera of the utility model by electronic payment terminal and the Audio and Video file of microphone acquisition operator, to the identification of face, voice, lip reading and vocal print in Audio and Video, the identity of operator and intelligent live body can be recognized, reach the object of secure payment; The feature that this technology is extracted all is not kept on the electronic payment terminals such as local handset, panel computer and PC, biological characteristic vector is transferred to server and destroys immediately after training and checking, and cryptographic algorithm is used in transmitting procedure, the security of technology own improves.The E-Payment true man live body authentication system that the utility model provides is a kind of contactless recognition technology, easy to use, not by the restriction of extraneous factor, and strong adaptability, low to hardware requirement, can be used in easily on various terminal device.
Accompanying drawing explanation
Fig. 1 is the server of E-Payment true man live body authentication system of the present utility model and pays client interaction figure by mails;
Fig. 2 is the training process flow diagram paying true man's live body authentication system by mails;
Fig. 3 is the identification process figure paying true man's live body authentication system by mails;
Fig. 4 is the recognition of face process flow diagram paying true man's live body authentication system by mails;
Fig. 5 is the lip reading identification process figure paying true man's live body authentication system by mails;
Fig. 6 is the Application on Voiceprint Recognition process flow diagram paying true man's live body authentication system by mails;
Fig. 7 is the speech recognition process flow diagram paying true man's live body authentication system by mails;
Fig. 8 is the framework schematic diagram paying true man's live body authentication system by mails.
Wherein: 1. server end; 2. pay client by mails; 3. computer network.
Specific embodiments
Below in conjunction with concrete accompanying drawing and embodiment, the utility model is described further.
Wherein: Fig. 1 is the server of E-Payment true man live body authentication system of the present utility model and pays client interaction figure by mails; Fig. 2 is the training process flow diagram paying true man's live body authentication system by mails; Fig. 3 is the identification process figure paying true man's live body authentication system by mails;
As shown in Figure 1-Figure 3, the E-Payment true man live body authentication system that the utility model provides comprises: server end 1, E-Payment client 2, computer network 3, biological characteristic extraction module, biological characteristic recognition module, and technical characteristics is as follows:
Computer network 3 is for server end 1 and the data interaction paying client 2 by mails;
Pay client 2 by mails to comprise operator's registration, gather raw data, training and figure as multiple biological characteristic extraction module, the figure of server end 1 store operation person as multiple biological information database and figure as multiple biological characteristic recognition module;
During checking, pay by mails client 2 process after figure to compare as the data of multiple biological information database as the figure of multiple biological characteristic and server end 1 and identify: when the figure gathered is successful as multiple biological information comparison as the figure of multiple biological information and storage, server confirms that operator is true man's live body of registrant, be proved to be successful, E-Payment completes, and upgrades as multiple biological information database the figure of server end 1 in real time; When contrasting unsuccessfully, refusal to pay.
In a preferred embodiment of the present utility model, described figure mainly comprises following biological characteristic as multiple biological characteristic: face characteristic, phonetic feature, vocal print characteristic sum lid speech characteristic.
In a preferred embodiment of the present utility model, described figure mainly comprises following biological information as multiple biological information database: face characteristic information, voice characteristics information, vocal print characteristic information and lid speech characteristic information.
Wherein: training is the face of first training and operation person, voice, vocal print and lid speech characteristic, and by its feature record in the server, training process is at E-Payment client display training sentence, the training sentence that operator's reading system produces, obtain camera video and audio-frequency information simultaneously, extract the biological characteristic of face in the video frame, enter face training program to train, extract continuous lip reading image when face is read, carry out feature extraction, enter lip reading training program to train, in audio frame, extract the vocal print feature in the phonetic feature of operator, enter vocal print training module to train, extract the feature of voice semantic information, enter voice training module to train, until each module has been trained, the training of operator terminates and binds its identity ID, and can according to the effect identified in identifying after energy, model after automatic renewal training.
In a preferred embodiment of the present utility model, described figure comprises as multiple biological characteristic extraction module: face characteristic extraction module, vocal print characteristic extracting module, pronunciation extracting module, lid speech characteristic extraction module.
In a preferred embodiment of the present utility model, described figure comprises as multiple biological characteristic recognition module: face characteristic identification module, vocal print feature identification module, phonetic feature identification module, lid speech characteristic identification module.
In a preferred embodiment of the present utility model, described identifying can arrange checking rank voluntarily according to customer requirement, and such as Generally Recognized as safe checking etc. just only need be identified by 2 checkings; Intermediate security checking grade needs at least by 3 kinds of identifications; High safety verification grade needs by all 4 kinds of identifications of face, vocal print, voice and lip reading.
As shown in Figure 4, in a preferred embodiment of the present utility model, described face characteristic identification module mainly contains facial image pre-service, Face datection algorithm, face tracking, image quality analysis, face characteristic extracts, recognition of face, wherein: facial image pre-service does color range facial image in the video image obtained, contrast, color balance, sharpening, noise reduction, deblurring, histogram equalization, the methods such as super resolution carry out image enhaucament, and then Face datection algorithm extracts the features of skin colors of face, the haar feature of image, LBP characteristic sum Hog feature, these features are merged, morphogenesis characters vector, rear use adboost cascade classifier is classified to it, extract the face position of face, image tracking algorithm is used to the face extracted, to face tracking, guarantee it is same people, and preferred several high-quality pictures, use Gabor wavelet conversion from human face photo, extract the feature being used for recognition of face, and with PCA principal component analysis algorithm, dimension-reduction treatment is carried out to data, form face feature vector, use sorting algorithm at server end, Data Comparison with model bank, completes recognition of face.
As shown in Figure 5, in a preferred embodiment of the present utility model, in the 5th described step, lid speech characteristic identification module mainly comprises Image semantic classification, lip location, lip outline extraction, the extraction of lip Contour extraction, lip contour feature, tagsort and lip reading identification.It is in the facial image region of above-mentioned Face datection location that lip region is extracted, lip and the colour of skin is distinguished according to the priori of lip site color, and strengthen lip region color, utilize binary image to complete the coarse positioning of lip, then realize lip fine positioning in conjunction with lip color model.It is by morphology processing that lip outline extracts, and extracts the initial curve of lip, then by extracting the contour curve of lip based on contour extraction method.Lip is followed the tracks of and is adopted optical flow method or meanshift to follow the tracks of sequence image, and next frame initial profile is predicted, extract the feature point set vector of lip profile, according to eigenvector and training template base, utilize artificial intelligence sorting algorithm to carry out the identification of lip reading.
As shown in Figure 6, in a preferred embodiment of the present utility model, described vocal print feature identification module mainly comprises voice pre-service, speech characteristic parameter extracts, and sound-groove model mates, and recognition threshold judges.Voice pre-service carries out framing to the speech-sound data sequence (PCM code stream) of input, then the cumlative energy of each frame speech data is calculated, extract the speech data with information, to there are the voice of information by the process of Hi-pass filter pre-emphasis, voice signal after process is divided into short time interval one by one, and then every frame is multiplied by window function, to increase the continuity of every frame left end and right-hand member, the frequency spectrum obtaining each frame is converted to each frame signal after framing windowing, the characteristic parameter of each frame voice signal is extracted according to frequency spectrum, complete speech characteristic parameter to extract, by there being characteristic parameter, mate with the sound-groove model in model bank and contrast, complete recognition threshold to judge, determine vocal print identity.
As shown in Figure 7, in a preferred embodiment of the present utility model, speech recognition mainly comprises voice pre-service, speech characteristic parameter extraction, feature mode identification and exports voice identification result.Extract the characteristic parameter of each frame voice signal, use sorter to classify to the parameter extracted, identify speaker.Voice pre-service carries out framing to the voice of input, calculate the cumlative energy of each frame speech data, extract the speech data with information, hidden Markov model is used to build a state network, the path of mating most with voice is found from state network, structure word level network, is launched into phoneme network and state network.Then in state network, an optimal path is searched for, the maximum probability between these paths and voice.Using the searching algorithm calculating dynamic programming beta pruning, for finding global optimum path, identifying current speech content according to state transfer.
The Web bank that the E-Payment true man live body authentication system that the utility model provides is applicable to the terminals such as mobile phone, flat board, PC pays.Fig. 8 is the general terminal configuration realizing the utility model needs:
1.terminal has smart mobile phone, panel computer, notebook, the PC of the systems such as android, ios, WP, windows, linux, Mac OS, and is configured with camera and microphone;
2.the computer server of x86 or x64;
3.computer network 3, comprises internet or LAN (Local Area Network) etc.
Pay the input that client is responsible for shooting and audio frequency by mails, and the pre-service to face characteristic, vocal print feature, lid speech characteristic and phonetic feature, by the above-mentioned characteristic transmission that extracts to background server, background server carries out identification checking to above-mentioned biological characteristic one by one by artificial intelligence recognizer.
Pay being described in detail as follows of true man's live body authentication system overall flow by mails:
A. prepare, opening program;
B. start and pay client camera and MIC by mails, start camera and the microphone of electronic payment terminal equipment, enter and prepare shooting and recording voice;
C. random word read, wants operator's reading content in client voice message, and screen shows the word that will read;
D. read above-mentioned word, in reading, step produces word at random, and video read in camera record, MIC record audio;
E. pay the feature extraction that client carries out face, vocal print, voice and lip reading by mails, and be transferred to server to after characteristic information encryption through network communication protocol;
F. server receives the biological characteristic of operator, enters each identification module and identifies, return recognition result;
G. end of identification, whether notice pays end by mails by checking.
In sum, compared with prior art, existing smart mobile phone and panel computer, the safety of mobile phone and payment is strengthened by increasing the hardware devices such as fingerprint recognition, improve the cost of smart mobile phone and panel computer, say the equipment of existing fingerprint recognition from another point of view, the fingerprint of the operator gathered is kept on equipment, the region likely storing fingerprint is broken through by hacker, obtain the permanent finger print information of operator, result in greater loss, the utility model is at smart mobile phone, on the basis of panel computer and PC terminal, do not increase extras, only checking can be completed by camera and microphone, there is equipment cost low, recognition efficiency is high, and can identify whether to be true man, whether be the authentication function with intelligent live body.The camera of the utility model by electronic payment terminal and the Audio and Video file of microphone acquisition operator, to the identification of face, voice, lip reading and vocal print in Audio and Video, the identity of operator and intelligent live body can be recognized, reach the object of secure payment.The feature that the utility model technology is extracted all is not kept on the electronic payment terminals such as local handset, panel computer and PC, biological characteristic vector is transferred to server and destroys immediately after training and checking, and cryptographic algorithm is used in transmitting procedure, the security of technology own improves.The E-Payment true man live body authentication system that the utility model provides is a kind of contactless recognition technology, easy to use, not by the restriction of extraneous factor, and strong adaptability, low to hardware requirement, can be used in easily on various terminal device.
Claims (7)
1. pay true man's live body authentication system by mails, it is characterized in that:
Described E-Payment true man live body authentication system comprises: pay client, server end, figure by mails as multiple biological characteristic extraction module, figure as multiple biological characteristic recognition module, communication module, technical characteristics is as follows:
Communication module is used for server end and the data interaction paying client by mails;
Pay client by mails to comprise operator's registration, gather raw data, training and figure as multiple biological characteristic extraction module, the figure of server end store operation person as multiple biological information database and figure as multiple biological characteristic recognition module.
2. E-Payment true man live body authentication system according to claim 1, is characterized in that: described figure comprises as multiple biological characteristic extraction module: face characteristic extraction module, vocal print characteristic extracting module, pronunciation extracting module, lid speech characteristic extraction module.
3. E-Payment true man live body authentication system according to claim 1, is characterized in that: described figure comprises as multiple biological characteristic recognition module: face characteristic identification module, vocal print feature identification module, phonetic feature identification module, lid speech characteristic identification module.
4. E-Payment true man live body authentication system according to claim 3, is characterized in that: described face characteristic identification module mainly contains Face datection, face tracking, image quality analysis, facial image pre-service, face characteristic extraction, recognition of face.
5. E-Payment true man live body authentication system according to claim 3, is characterized in that: described lid speech characteristic identification module mainly comprises Image semantic classification, lip location, lip outline extraction, the extraction of lip Contour extraction, lip contour feature, tagsort and lip reading identification.
6. E-Payment true man live body authentication system according to claim 3, is characterized in that: described phonetic feature identification module mainly comprises voice pre-service, speech characteristic parameter extraction, feature mode identification and exports voice identification result.
7. E-Payment true man live body authentication system according to claim 3, is characterized in that: described phonetic feature identification module mainly comprises voice pre-service, speech characteristic parameter extracts, feature mode identification and export voice identification result.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105654304A (en) * | 2016-04-01 | 2016-06-08 | 刘纪君 | Using method of intelligent facial recognition payment platform |
| CN105894285A (en) * | 2016-04-01 | 2016-08-24 | 孙景芝 | Using method of face payment system based on Bluetooth-assisted authentication |
| CN105912987A (en) * | 2016-04-01 | 2016-08-31 | 王涛 | Application method of face payment platform based on iris-assisted identity authentication |
| CN106570369A (en) * | 2015-10-08 | 2017-04-19 | 三竹资讯股份有限公司 | video identity confirming device and method |
| CN107423971A (en) * | 2017-07-05 | 2017-12-01 | 佛山杰致信息科技有限公司 | safety payment system |
| CN108710836A (en) * | 2018-05-04 | 2018-10-26 | 南京邮电大学 | A kind of lip detecting and read method based on cascade nature extraction |
| CN111915305A (en) * | 2019-05-10 | 2020-11-10 | 腾讯科技（深圳）有限公司 | Payment method, device, equipment and storage medium |
| CN112150740A (en) * | 2020-09-10 | 2020-12-29 | 福建创识科技股份有限公司 | Non-inductive secure payment system and method |
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2015
- 2015-02-28 CN CN201520118621.XU patent/CN204667465U/en active Active
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106570369A (en) * | 2015-10-08 | 2017-04-19 | 三竹资讯股份有限公司 | video identity confirming device and method |
| CN105654304A (en) * | 2016-04-01 | 2016-06-08 | 刘纪君 | Using method of intelligent facial recognition payment platform |
| CN105894285A (en) * | 2016-04-01 | 2016-08-24 | 孙景芝 | Using method of face payment system based on Bluetooth-assisted authentication |
| CN105912987A (en) * | 2016-04-01 | 2016-08-31 | 王涛 | Application method of face payment platform based on iris-assisted identity authentication |
| CN107423971A (en) * | 2017-07-05 | 2017-12-01 | 佛山杰致信息科技有限公司 | safety payment system |
| CN108710836A (en) * | 2018-05-04 | 2018-10-26 | 南京邮电大学 | A kind of lip detecting and read method based on cascade nature extraction |
| CN108710836B (en) * | 2018-05-04 | 2020-10-09 | 南京邮电大学 | Lip detection and reading method based on cascade feature extraction |
| CN111915305A (en) * | 2019-05-10 | 2020-11-10 | 腾讯科技（深圳）有限公司 | Payment method, device, equipment and storage medium |
| CN111915305B (en) * | 2019-05-10 | 2023-07-25 | 腾讯科技（深圳）有限公司 | Payment method, device, equipment and storage medium |
| CN112150740A (en) * | 2020-09-10 | 2020-12-29 | 福建创识科技股份有限公司 | Non-inductive secure payment system and method |
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Effective date of registration: 20190327 Address after: No. 53 Pioneering Avenue, Boshan Economic Development Zone, Zibo City, Shandong Province Patentee after: Shandong Optimized Information Technology Co., Ltd. Address before: 215341 Central Park Building, Qiandeng Town, Kunshan City, Suzhou City, Jiangsu Province Patentee before: Optimization Technology (Suzhou) Co., Ltd. |
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