CN103714282A - Interactive type identification method based on biological features - Google Patents
Interactive type identification method based on biological features Download PDFInfo
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- CN103714282A CN103714282A CN201310730960.9A CN201310730960A CN103714282A CN 103714282 A CN103714282 A CN 103714282A CN 201310730960 A CN201310730960 A CN 201310730960A CN 103714282 A CN103714282 A CN 103714282A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Abstract
The invention belongs to the technical field of information safety certification and identification and relates to an interactive type identification method based on biological features. The interactive type identification method based on the biological features comprises the steps that a user defines a group of input expressions, a group of input gestures and corresponding prompts in advance; when the user logs into a website, the website provides the prompt of one output expression or one output gesture, and the user inputs the expression or the gesture according to the output prompt on a screen; identification and certification are conducted by the website, if identification and certification fail, the website reminds the user to conduct inputting again or look up help information, the help information will provide the types of the defined expressions and the defined gestures so that the user can make selection, and if the user chooses to conduct inputting again, the last step is executed again; the website judges whether the input expression or the input gesture is the last input expression defined by the user or the last input gesture defined by the user, and if yes, the user successively logs into the website. According to the interactive type identification method based on the biological features, dynamic combined identification is conducted on the biological features and therefore attacks of phishing websites can be effectively prevented.
Description
Affiliated technical field
The invention belongs to information security certification and recognition technology field, relate to a kind of recognition methods based on biological characteristic.
Background technology
At present, in information security certification and identification field, conventional method has cipher authentication, fingerprint recognition and recognition of face.For general cipher authentication, as long as password is stolen, stealer just can realize authentication and identification, and the safety of information just can not get guarantee, and it is not extra high field that this kind of recognition methods is used in the safety requirements of information.There is easy loss, copy and stolen risk in some smart cards and key.Fingerprint recognition is that a kind of uniqueness based on fingerprint characteristic is known method for distinguishing, and it and recognition of face are all biometrics identification technologies.
Fingerprint identification technology is to adopt camera to collect user fingerprints information, by the comparison of fingerprint characteristic, identifies.Conventional facial recognition techniques is to gather single people's face information at present, face characteristic is identified, if characteristic matching is identified successfully.Such as the face recognition technology of current i Phone is exactly only to gather user people's face information one time, carry out feature identification, if identification is passed through, can log in cell phone system.The problem that current fingerprint identification technology exists is: for some, be engaged in for a long time the people of big and heavy flexibe work(labour), their fingerprint characteristic is not obvious, and identification not out, because their fingerprint characteristic is few, is difficult to identification.There is the problem of identifying with picture in recognition of face.Common website log recognition method is to adopt password login at present, if password is too complicated, has the problem of forgeing, and is too simply easily cracked.And current appearance is crossed a lot of websites encrypted message and is leaked, and user's private information is by exposure.Safety problem more and more becomes the popular problem of being concerned about.
Summary of the invention
The object of the invention is to overcome the above-mentioned deficiency of prior art, propose a kind of interactive recognition methods based on biological characteristic.This method can effectively prevent that user from substituting and identify in person and authenticate with picture.And more safe and reliable more stable than general numerical ciphers login recognition methods, and engineering is user-defined alternately, user sees the user profile of Website server storage, is also difficult to login system.This method is that a kind of dynamic combined of biological characteristic is realized to identification.A lot of fishing websites are by obtaining numerical ciphers or static image is stolen user profile, and this method can effectively prevent the attack of fishing website.
An interactive recognition methods based on biological characteristic, comprising:
(1) user pre-defines one group of expression input and one group of gesture input, and defines the prompting to single expression input and gesture;
(2) during user's Website login, website provides the prompting of expression or the gesture of output, and user inputs first expression or gesture according to the prompting of exporting on screen;
(3) authentication is identified in website, if correct, enters next step; If incorrect, help is re-entered or checked to web site prompts, helps the classification that provides defined expression and gesture to select for user, and user selects to re-enter to return to step (2), then input expression of user or gesture;
(4) website judges whether it is the input of user-defined last expression or gesture, if words successful Website login; If not last expression or gesture input, the then next expression prompting of output of website, returns to step (2), and then input expression of user or gesture, identify.
Outstanding feature of the present invention is using the combination of lineup's face and gesture as interactive information feature, offer website, the expression that website provides in advance according to user (gesture) and corresponding signal language thereof, to its interaction when user logins, provide expression signal language, user, according to expression signal language, makes corresponding expression (gesture).Website is carried out the identification of biometric image information again, carries out that next step is mutual according to the result of identification, identify successfully further the input next one and expresses one's feelings and identify.Whole process interface input people's face (gesture) is realized the login of a safety, can effectively prevent that others from usurping single photo and carrying out face recognition, because be only the login process that cannot complete whole identification authentication by single user's still image, security gets a promotion.
Accompanying drawing explanation
The flow process of Fig. 1 algorithm of the present invention;
Fig. 2 initialization flow process.
Embodiment
Below in conjunction with drawings and Examples, the present invention will be described.
The present invention proposes a kind of interactive recognition methods based on biological characteristic.Take user's Website login as example, conventional method is that user provides own setting code in advance to website, user will login afterwards, user inputs username and password, the password of website input and the password of reservation are identified authentication, if input obtains password, coincide with pre-stored password, identify and pass through, user is authenticated.The problem of the method is: if other people have obtained user's password by fishing website, can pass through this password login user's account.If the recognizer based on biological characteristic is used for identifying login, just can improve security.Use individual still image to identify the problem that also existence is stolen.Fishing website can obtain user's one pictures, logins, and also can successfully login, because recognition of face itself is identified authentication based on feature, individual picture also has these characteristic informations.The emphasis of this method is using the expression of people's face and gesture information as mutual information characteristics, offers website, during login, just can use these interactive information to login.This method comprises: (1) user pre-defines one group of expression input, and the prompting of single expression input.Such as user's definition " to one's heart's content " representative input smiling face, the expression of the closed eyes of " vast and hazy " representative input, the face of crying of " touching " representative input.Define one group expression for the face of crying, smiling face, close eyes, smiling face; (2) during user's Website login, website provides the prompting of output expression, and user inputs first expression according to the prompting of exporting on screen; (3) authentication is identified in website, if correct, enter next step, if incorrect, help is re-entered or checked to web site prompts, help will provide three expressions (for example: A is that smiling face, B are that the face C that cries closes eyes), and user selects to re-enter and returns to then input expression of step (2); (4) website judges whether it is user-defined last expression, if the words website of ining succession, successful Website login; If not last expression, the then next expression prompting of output of website, carries out the work of step (2), and then input expression of user, identifies.What Fig. 1 represented is exactly algorithm flow.
Appeal algorithm is just combined expression, and same, the another one living things feature recognition the present invention relates to is people's gesture.The present invention by gesture identification together with face recognition dynamic combined.Gesture can be: cover mouth, singly refer to be placed on before mouth.Different with the above-mentioned method of saying: step (1) is when initialization, user is predefined is not one group of expression and expression prompting, but the combination of expression and gesture is for example covered mouth with hand, input initialization is covered the image of mouth, and to output prompting that should image.Of the present invention interactive, making face recognition is being not simple image to be carried out to feature identification, but has interaction with user, and user inputs one group of expression and identifies and authenticate with the combination of gesture, so just can make to authenticate safer.
As shown in Figure 1, user can revise the expression input combination of reservation to algorithm flow of the present invention voluntarily after logging in successfully.
Step (1) is kept at the expression of User Defined input and the combination image of gesture on the server of website, and the user-defined information of correspondence is also kept on same server, can read so that binary code is streamed.
Step (2) user inputs user name, website is read corresponding information from server and is outputed to screen, user sees that information is according to prompting, make expression and the gesture corresponding with own predefined prompting, camera collection user's expression and gesture, obtain image information, carries out pre-service, obtain the human face image sequence of this expression, this is passed to the module of identifying specially.
In step (3) website, be responsible for the module of identification specially and from server, extract self-defining expression, extract the feature of input picture and gesture, the people's face data characteristics acquiring and self-defining human face expression images of gestures feature are analysed and compared, if matching degree reaches 90 percent, the match is successful, represents that this expression and gesture are correct.
To initialization be done to a more specific explanation below.As shown in Figure 2:
The first step, an account of website registration, web site prompts user inputs the input prompt word of first expression and gesture combination, and user inputs the cue that oneself is set, and system requirements user confirms for one time in input, after having confirmed, enters next step.
Second step, web site requests user opens camera, and user opens camera, inputs first expression and the gesture that oneself define, keep two seconds, system, by camera continuous shooting, is obtained several pictures, the image obtaining in the middle of showing, request user confirmation, user confirms, enters next step.
Whether the 3rd step, continue to input next expression and gesture, and selection is, enters the first step next expression and gesture and cue are then set, and selects noly, and initialization completes.
The present invention can be used for the authentication identification of the smart machine starts such as computer, mobile phone.Topmost embodiment is to be applied to Electronic Government Affairs Website and e-commerce website.Website user can adopt computer camera to express one's feelings and the collection of the information of gesture.Website gathers expression and gesture information by camera to user in advance, and user-defined corresponding signal language, when inputting user name, after mouse is clicked and is confirmed, screen is exported first cue, user clicks and confirms to open user's camera, user makes corresponding expression and gesture (such as smiling face) before camera, after camera collection, import processor into, start identification, characteristics of image is mated, matching result is correct, screen is then exported second prompting, user inputs second expression and gesture, finally show the 3rd cue, user inputs corresponding expression and gesture, after the correct identification of combination of the 3rd expression and gesture, user's success Website login user account.
Claims (1)
1. an interactive recognition methods based on biological characteristic, comprising:
(1) user pre-defines one group of expression input and one group of gesture input, and defines the prompting to single expression input and gesture;
(2) during user's Website login, website provides the prompting of expression or the gesture of output, and user inputs first expression or gesture according to the prompting of exporting on screen;
(3) authentication is identified in website, if correct, enters next step; If incorrect, help is re-entered or checked to web site prompts, helps the classification that provides defined expression and gesture to select for user, and user selects to re-enter to return to step (2), then input expression of user or gesture.
(4) website judges whether it is the input of user-defined last expression or gesture, if words successful Website login; If not last expression or gesture input, the then next expression prompting of output of website, returns to step (2), and then input expression of user or gesture, identify.
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| CN104994057A (en) * | 2015-05-12 | 2015-10-21 | 深圳市思迪信息技术有限公司 | Data processing method and system based on identity authentication |
| WO2015188538A1 (en) * | 2014-06-12 | 2015-12-17 | 深圳市汇顶科技股份有限公司 | Mobile terminal security authentication method and system and mobile terminal |
| CN105184267A (en) * | 2015-09-15 | 2015-12-23 | 重庆智韬信息技术中心 | Face-identification-based secondary-deformation auxiliary authorization method |
| WO2016154834A1 (en) * | 2015-03-28 | 2016-10-06 | Intel Corporation | Gesture matching mechanism |
| CN106254299A (en) * | 2015-06-03 | 2016-12-21 | 阿里巴巴集团控股有限公司 | Multiple expression coupling account authentication method, password amendment authentication method and device thereof |
| CN106600855A (en) * | 2016-12-22 | 2017-04-26 | 河南牧业经济学院 | Payment device and method based on face recognition |
| CN109325330A (en) * | 2018-08-01 | 2019-02-12 | 平安科技（深圳）有限公司 | Micro- expression lock generates and unlocking method, device, terminal device and storage medium |
| CN110348193A (en) * | 2019-05-24 | 2019-10-18 | 招银云创（深圳）信息技术有限公司 | Verification method, device, equipment and storage medium |
| CN112487885A (en) * | 2020-11-16 | 2021-03-12 | 中信银行股份有限公司 | Payment method, payment device, electronic equipment and readable storage medium |
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| WO2015188538A1 (en) * | 2014-06-12 | 2015-12-17 | 深圳市汇顶科技股份有限公司 | Mobile terminal security authentication method and system and mobile terminal |
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| US10803157B2 (en) | 2015-03-28 | 2020-10-13 | Intel Corporation | Gesture matching mechanism |
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| CN104994057A (en) * | 2015-05-12 | 2015-10-21 | 深圳市思迪信息技术有限公司 | Data processing method and system based on identity authentication |
| CN106254299A (en) * | 2015-06-03 | 2016-12-21 | 阿里巴巴集团控股有限公司 | Multiple expression coupling account authentication method, password amendment authentication method and device thereof |
| CN105184267A (en) * | 2015-09-15 | 2015-12-23 | 重庆智韬信息技术中心 | Face-identification-based secondary-deformation auxiliary authorization method |
| US10970681B2 (en) | 2016-09-29 | 2021-04-06 | Walmart Apollo, Llc | Camera gesture clock in |
| CN106600855A (en) * | 2016-12-22 | 2017-04-26 | 河南牧业经济学院 | Payment device and method based on face recognition |
| CN109325330A (en) * | 2018-08-01 | 2019-02-12 | 平安科技（深圳）有限公司 | Micro- expression lock generates and unlocking method, device, terminal device and storage medium |
| CN110348193A (en) * | 2019-05-24 | 2019-10-18 | 招银云创（深圳）信息技术有限公司 | Verification method, device, equipment and storage medium |
| CN112487885A (en) * | 2020-11-16 | 2021-03-12 | 中信银行股份有限公司 | Payment method, payment device, electronic equipment and readable storage medium |
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Application publication date: 20140409 |