CN105530267A - Software login method, terminal, server and system based biological characteristics - Google Patents
Software login method, terminal, server and system based biological characteristics Download PDFInfo
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- CN105530267A CN105530267A CN201610086106.7A CN201610086106A CN105530267A CN 105530267 A CN105530267 A CN 105530267A CN 201610086106 A CN201610086106 A CN 201610086106A CN 105530267 A CN105530267 A CN 105530267A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
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- 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
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Abstract
The invention provides a software login method based on biological characteristics. The software login method comprises the steps that: a server pre-stores account information and biological characteristic information bound to the account information of a user; biological characteristic information which is obtained when the user logs in software and sent by a user terminal is received; the received biological characteristic information is matched with the prestored biological characteristic information; and the server issues a login command to the user terminal when the matching is successful, and the user is allowed to log in the software. That is, the biological characteristic identification is added into software unlocking, the password theft accident is solved, the software is personalized, and other people can do nothing with the password unless the personal biological characteristics are acquired. Therefore, the safety level is significantly promoted, and the personal privacy protection is more powerful.
Description
Technical field
The present invention relates generally to software unlocking technology field, especially, relates to a kind of software login method based on biological characteristic, terminal, server and system.
Background technology
Current much software has login recognition function, and certain software can be used to protect to individual, be also the encryption to individual privacy.Login mode generally should be main with account name codon pair.
But along with the development of society, individual is also strong all the more to the protection of self privacy, and the development of science and technology makes the protected mode of simple account name password just more and more can not meet the demand of people, so the individual's protection strengthened on software just becomes the emphasis of concern.
Mobile fingerprint system for unlocking, fingerprint recognition.Present smart mobile phone all with unlocked by fingerprint, unlocks will propagate its belief on a large scale in future along with developing mobile fingerprint.
We often there will be the stolen thing of password when applying various software on mobile phone; great harm is all caused to the property of we individual and privacy; therefore, the unlocking manner only by account name password login software can not meet individual privacy requirements.
Summary of the invention
In order to solve the problems of the technologies described above, the present invention proposes a kind of software login method based on biological characteristic, described method comprises:
The accounts information of server prestored user and the biological information bound with described accounts information;
The biological information that the user that reception user terminal sends obtains when logging in software;
And the described biological information received is mated with the described biological information prestored;
When the match is successful, server issues login instruction to described user terminal, allows described user to log in described software.
Further, described in the biological information that prestores, be specially:
Receive and store user terminal gather the first biological information;
Or, receive and store described first biological information that user terminal prestores;
The classification of described first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Further, the user that described reception user terminal sends obtain when logging in software biological information be the second biological information;
The classification of described second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
Further, described the match is successful, specifically comprises:
Similarity thresholding is arranged respectively to the classification of the described biological information prestored;
According to the classification of the described biological information of the user received, select corresponding similarity thresholding;
When described second biological information and described first biological information contrast, when reaching corresponding similarity thresholding, then the match is successful.
The present invention also proposes a kind of software login method based on biological characteristic, and described method comprises:
User terminal sends for the accounts information of user prestored and the biological information bound with described accounts information to server;
When user logs in software, user terminal obtains the biological information of user;
The biological information got is sent to described server by user terminal, is mated by the described biological information got for described server with the described biological information prestored;
User terminal receives the login instruction that described server issues when the match is successful, logs in described software.
Further, the biological information for prestoring that described user terminal sends to server, is specially:
Described first biological information that self prestores by user terminal sends to described server;
Or user terminal gathers first biological information of described user, and described first biological information collected is sent to described server;
Wherein, the classification of described first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Further, described user terminal gathers first biological information of described user, specifically comprises:
User terminal scans first biometric image of user in advance;
And described first biometric image is sampled, extract first biological characteristic of the user corresponding with described first biometric image respectively;
And described first biological characteristic is converted into the first digital code, and using described first digital code as the first biological information;
Wherein, the classification of described first biometric image comprises: fingerprint image, human eye iris image and/or facial image.
Further, described when user logs in software, user terminal obtains the biological information of user, specifically comprises:
Receive the classification of the biological information that user selects;
And according to the classification of described biological information that user selects, second biometric image of corresponding scanning user;
Described second biometric image is sampled, extracts second biological characteristic of user;
Described second biological characteristic is converted into the second digital code, and using described second digital code as the second biological information.
Further, described first biological information is uploaded to high in the clouds to preserve, described first biological information can be got during software described in described user's different-place login.
The present invention also proposes a kind of software logon server based on biological characteristic, and described server comprises:
Pre-storing module, for the accounts information of prestored user and the biological information bound with described accounts information;
Receiver module, the biological information obtained when the user sent for receiving user terminal logs in software;
Matching module, for mating the described biological information that receives with the described biological information prestored;
First sending module, for when the match is successful, issues login instruction to described user terminal, allows described user to log in described software.
Further, described pre-storing module comprises:
First receive memory module, for receive and store user terminal gather the first biological information;
Or second receives memory module, for receiving and storing described first biological information that user terminal prestores;
The classification of described first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Further, the biological information that the user that described receiver module reception user terminal sends obtains when logging in software is the second biological information;
The classification of described second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
Further, described matching module comprises:
Submodule is set, for arranging similarity thresholding respectively to the classification of the described biological information prestored;
Chooser module, for the classification of the described biological information according to the user received, selects corresponding similarity thresholding;
Contrast submodule, when described second biological information and described first biological information contrast, when reaching corresponding similarity thresholding, then the match is successful.
The present invention also proposes a kind of software login user terminal based on biological characteristic, and described user terminal comprises:
Second sending module, for sending for the accounts information of user prestored and the biological information bound with described accounts information to server;
Acquisition module, for when user logs in software, obtains the biological information of user;
3rd sending module, the biological information for being got by acquisition module sends to described server, is mated by the described biological information got for described server with the described biological information prestored;
Receiving login module, for receiving the login instruction that described server issues when the match is successful, and logging in described software.
Further, described second sending module comprises:
Send submodule, send to described server for described first biological information prestored by user terminal self;
Or, gathering and send submodule, for gathering first biological information of described user, and described first biological information that described first biological information collected or user terminal self prestore being sent to described server;
Wherein, the classification of described first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Further, described collection transmission submodule comprises:
Scanning subelement, for scanning first biometric image of user in advance;
Extracting subelement, for sampling described first biometric image, extracting first biological characteristic of the user corresponding with described first biometric image respectively;
Process subelement, for being converted into the first digital code by described first biological characteristic, and using described first digital code as the first biological information;
Wherein, the classification of described first biometric image comprises: fingerprint image, human eye iris image and/or facial image.
Further, described when user logs in software, described acquisition module comprises:
Receive submodule, for receiving the classification of the biological information that user selects;
Scanning submodule, for the classification of described biological information selected according to user, corresponding the second biometric image scanning user;
Extracting submodule, for sampling described second biometric image, extracting second biological characteristic of user;
Process submodule, for being converted into the second digital code by described second biological characteristic, and using described second digital code as the second biological information.
Further, described user terminal also comprises:
Upper transmission module, preserves, can get described first biological information during software described in described user's different-place login for described first biological information being uploaded to high in the clouds.
The present invention also proposes a kind of software login system based on biological characteristic, and described system comprises server and user terminal,
Described server is server described above;
Described user terminal is user terminal described above.Technical solution of the present invention is by the accounts information of server prestored user and the biological information bound with described accounts information; The biological information that the user that reception user terminal sends obtains when logging in software; And the described biological information received is mated with the described biological information prestored; When the match is successful, server issues login instruction to described user terminal, allows described user to log in described software.That is, living things feature recognition put among software unblock, solve the stolen event of password, software is become individual software, unless personal biology characteristics, other people take password also without any use.So, level of security is promoted a lot, also stronger to individual privacy protection.In addition, user biological characteristic information has been added in software solution and has locked by the present invention, can not conflict mutually, and greatly protect individual privacy with terminal unlocking.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present application, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings, wherein:
Fig. 1 is the schematic flow sheet of a kind of embodiment of software login method based on biological characteristic provided by the invention;
Fig. 2 is the schematic flow sheet of a kind of embodiment of biological information acquisition methods that server provided by the invention prestores;
Fig. 3 is the schematic flow sheet of the match is successful a kind of embodiment of method provided by the invention;
Fig. 4 is the schematic flow sheet of a kind of embodiment of software login method based on biological characteristic provided by the invention;
Fig. 5 schematic flow sheet of a kind of embodiment of biological information acquisition methods for prestoring that to be user terminal provided by the invention send to server;
Fig. 6 is the schematic flow sheet that user terminal provided by the invention gathers a kind of embodiment of the first biological information method of described user;
Fig. 7 is the schematic flow sheet of a kind of embodiment of biological information method of the user terminal acquisition user when user logs in software provided by the invention;
Fig. 8 is the structural representation of a kind of embodiment of software logon server based on biological characteristic provided by the invention;
Fig. 9 is the structural representation of a kind of embodiment of pre-storing module of the software logon server based on biological characteristic provided by the invention;
Figure 10 is the structural representation of a kind of embodiment of matching module of the software logon server based on biological characteristic provided by the invention;
Figure 11 is the structural representation of a kind of embodiment of software login user terminal based on biological characteristic provided by the invention;
Figure 12 is the structural representation based on a kind of embodiment of the second sending module in the software login user terminal of biological characteristic provided by the invention;
Figure 13 is provided by the invention based on gathering the structural representation sending a kind of embodiment of submodule in the second sending module of biological characteristic;
Figure 14 is the structural representation based on a kind of embodiment of acquisition module in the software login user terminal of biological characteristic provided by the invention;
Figure 15 is the structural representation of a kind of embodiment of software login system based on biological characteristic provided by the invention.
Embodiment
With this social development, have developed the method for carrying out authentication with biological characteristic in mobile phone industry now, living things feature recognition can be put the achievement just can using the industries such as mobile phone in software by us, living things feature recognition is associated with the recognition system of mobile phone industry, makes software login mode safer, reliable.That is, biological characteristic identification function is joined in software identification unblock, just to the tremendous increase of our individual privacy defencive function.
Accordingly, the present invention proposes a kind of software login method based on biological characteristic, user terminal and server, living things feature recognition is joined in the middle of software, and living things feature recognition and personal account is bound, and realizes encrypting privatization more.
The technical problem solved to make the application, technical scheme and beneficial effect are clearly understood, below in conjunction with drawings and Examples, are further elaborated to the application.Should be appreciated that specific embodiment described herein only in order to explain the application, and be not used in restriction the application.
Fig. 1 is the schematic flow sheet of a kind of embodiment of software login method based on biological characteristic provided by the invention, and idiographic flow is as follows:
Step S101, the accounts information of server prestored user and the biological information bound with described accounts information;
Particularly, the accounts information prestored is the personal account for logging in software that user registers; The classification of the biological information prestored comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Step S102, the biological information obtained when the user that reception user terminal sends logs in software;
Particularly, when user logs in software, then first require the biological information gathering user;
Wherein, the biological information gathering user is the second biological information, and the classification of the second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
Step S103, and the described biological information received is mated with the described biological information prestored;
Particularly, the classification of the biological information received comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
Step S104, when the match is successful, server issues login instruction to described user terminal, allows described user to log in described software.
Particularly, the match is successful, then issue login instruction, this login instruction is the instruction allowing user to log in described software; Be that it fails to match, then do not allowing user to log in described software;
Here, the accounts information of the user of software and the biological information prestored can be bound, when matching result success, user can directly log in this software.
Wherein, the acquisition methods of the biological information that server prestores is shown in that, shown in accompanying drawing 2, idiographic flow is:
Step S201, receive and store user terminal gather the first biological information;
Particularly, the first biological information is here obtained by acquisition mode.
Step S202, or receive and store the first biological information that user terminal prestores;
Particularly, the first biological information that user terminal prestores refers to, software biological information recognition system of the present invention arranges an interface, mutually compatible with other living creature characteristic recognition system; Such as: can be associated with the biological information recognition system of user terminal with this interface, call the biological information stored in the user terminal;
Also other can be utilized to have gathered the system of user biological characteristic information, it is combined with biological information recognition system of the present invention, directly uses the data that on user terminal, other system has stored or image procossing to change into the biological information of user of the present invention;
Wherein, the classification of the first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Wherein, the method that the match is successful is shown in that shown in accompanying drawing 3, idiographic flow is as follows:
Step S301, arranges similarity thresholding respectively to the classification of the described biological information prestored;
Particularly, the described biological information prestored here namely the first biological information;
The biological information of the same user of extracted twice reaches 100% identical hardly, but just can confirm that the biological information of extracted twice belongs to same user more than reaching certain similarity thresholding;
Accordingly, fingerprint characteristic similarity thresholding is arranged to fingerprint feature information, human eye iris feature similarity thresholding is arranged to human eye iris feature information, face characteristic similarity thresholding is arranged to face characteristic information.
Step S302, according to the classification of the described biological information of the user received, selects corresponding similarity thresholding;
Particularly, when the classification of the biological information of the user received is fingerprint feature information, then server selects corresponding similarity thresholding to be fingerprint characteristic similarity thresholding;
When the classification of the biological information of the user received is human eye iris feature information, then the similarity thresholding of the correspondence of server selection is human eye iris feature similarity thresholding;
When the classification of the biological information of the user received is face characteristic information, then the similarity thresholding of the correspondence of server selection is face characteristic similarity thresholding.
Step S303, when described second biological information and described first biological information contrast, when reaching corresponding similarity thresholding, then the match is successful.
Particularly, after the biological information that only have passed user is proved to be successful, user just can log in this software; Otherwise authentication failed, then refuse user and use this software;
Here, can limit the number of times of authentication failed, namely checking number of times thresholding is set, when verifying that number of times reaches checking number of times thresholding, can other mode identifying user identities such as mailbox checking be carried out, so, individual subscriber privacy can be protected more effectively.
Fig. 4 is the schematic flow sheet of a kind of embodiment of software login method based on biological characteristic provided by the invention, and idiographic flow is as follows:
Step S401, user terminal sends for the accounts information of user prestored and the biological information bound with described accounts information to server;
Particularly, the accounts information of user and biological information by the accounts information of the user of software and biological information binding, and send to server to be used for prestoring by user terminal; Accounts information is the personal account for logging in software that user registers; The classification of biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Step S402, when user logs in software, user terminal obtains the biological information of user;
Particularly, when user logs in software, software interface reminding user: input biological information;
The biological information needing input is the second biological information, and the classification of the second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
Step S403, the biological information got is sent to described server by user terminal, is mated by the described biological information got for described server with the described biological information prestored;
Particularly, inputted step by step by the prompting of software interface, then user terminal finally can get the biological information of user, and then the biological information of acquisition sends to server to be used for coupling by user terminal;
Wherein, the classification of the biological characteristic got is fingerprint feature information, human eye iris feature information or face characteristic information.
Step S404, user terminal receives the login instruction that described server issues when the match is successful, logs in described software.
Particularly, instruction is logged in: for server is when the match is successful, is handed down to user terminal and logs in software with indicating user terminal; When server matches failure, then can not issue and log in instruction or issue that it fails to match information;
Here, the accounts information of the user of software is bound with the biological information prestored, and when matching result success, user can directly log in this software.
Fig. 5 schematic flow sheet of a kind of embodiment of biological information acquisition methods for prestoring that to be user terminal provided by the invention send to server, idiographic flow is as follows:
Step S501, described first biological information that self prestores by user terminal sends to described server;
Particularly, the first biological information that user terminal prestores refers to, software biological information recognition system of the present invention arranges an interface, mutually compatible with other living creature characteristic recognition system; Such as: can be associated with the biological information recognition system of user terminal with this interface, call the biological information stored in the user terminal;
Also other can be utilized to have gathered the system of user biological characteristic information, it is combined with biological information recognition system of the present invention, directly uses the data that on user terminal, other system has stored or image procossing to change into the biological information of user of the present invention;
Step S502, or user terminal gathers first biological information of described user, and described first biological information collected is sent to described server;
Particularly, user terminal gathers first biological information of user by software living creature characteristic recognition system, and user sends to server to prestore.
Wherein, the classification of the first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Fig. 6 is the schematic flow sheet that user terminal provided by the invention gathers a kind of embodiment of the first biological information method of described user;
Step S601, user terminal scans first biometric image of user in advance;
Particularly, the first biometric image comprises: fingerprint image, human eye iris image and/or facial image;
Here, the first biometric image must reach certain definition, otherwise prompting is rescaned.
Step S602, and described first biometric image is sampled, extract first biological characteristic of the user corresponding with described first biometric image respectively;
Here, sampling and extraction belong to prior art, repeat no more here.
Step S603, and described first biological characteristic is converted into the first digital code, and using described first digital code as the first biological information;
Particularly, conversion process belongs to prior art, repeats no more here;
Wherein, the classification of described first biometric image comprises: fingerprint image, human eye iris image and/or facial image.
Fig. 7 is the schematic flow sheet of a kind of embodiment of biological information method of the user terminal acquisition user when user logs in software provided by the invention, and idiographic flow is as follows:
Step S701, receives the classification of the biological information that user selects;
Particularly, the classification of the biological information of user's selection comprises: draw together fingerprint feature information, human eye iris feature information or face characteristic information.
Step S702, and according to the classification of described biological information that user selects, second biometric image of corresponding scanning user;
Particularly, second biometric image is corresponding with the classification of the biological information of selection, comprises fingerprint image, human eye iris image or facial image, namely, if the classification of the biological information selected is fingerprint feature information, then the second biometric image is fingerprint image; If the classification of the biological information selected is human eye iris feature information, then the second biometric image is human eye iris image; If the classification of the biological information selected is face characteristic information, then the second biometric image is facial image;
Here, the second biometric image must reach certain definition, otherwise prompting is rescaned.
Step S703, samples described second biometric image, extracts second biological characteristic of user;
Here, sampling and extraction belong to prior art, repeat no more here.
Step S704, is converted into the second digital code by described second biological characteristic, and using described second digital code as the second biological information.
Here, conversion process belongs to prior art, repeats no more here.
In addition, when the first biological information is sent to server, also the first biological information can be uploaded to high in the clouds, the first biological information can be got during user's different-place login software.
Fig. 8 is the structural representation of a kind of embodiment of software logon server based on biological characteristic provided by the invention, and server 80 comprises pre-storing module 81, receiver module 82, matching module 83 and the first sending module 84,
Pre-storing module 81, for the accounts information of prestored user and the biological information bound with described accounts information;
Particularly, the accounts information prestored is the personal account for logging in software that user registers; The classification of the biological information prestored comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Receiver module 82, the biological information obtained when the user sent for receiving user terminal logs in software;
Particularly, when user logs in software, then first require the biological information gathering user;
Wherein, the biological information gathering user is the second biological information, and the classification of the second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
Matching module 83, for mating the described biological information that receives with the described biological information prestored;
Particularly, the classification of the biological information received comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
First sending module 84, for when the match is successful, issues login instruction to described user terminal, allows described user to log in described software.
Particularly, the match is successful, then server issues login instruction, and this login instruction is the instruction allowing user to log in described software; Be that it fails to match, then do not allowing user to log in described software;
Here, the accounts information of the user of software is bound with the biological information prestored, and when matching result success, user can directly log in this software.
Fig. 9 is the structural representation of a kind of embodiment of pre-storing module of the software logon server based on biological characteristic provided by the invention, and pre-storing module 81 comprises the first reception memory module 811 or second and receives memory module 812,
First receive memory module 811, for receive and store user terminal gather the first biological information;
Particularly, the first biological information is here obtained by acquisition mode.
Or second receives memory module 812, for receiving and storing described first biological information that user terminal prestores;
Particularly, the first biological information that user terminal prestores refers to, software biological information recognition system of the present invention arranges an interface, mutually compatible with other living creature characteristic recognition system; Such as: can be associated with the biological information recognition system of user terminal with this interface, call the biological information stored in the user terminal;
Also other can be utilized to have gathered the system of user biological characteristic information, it is combined with biological information recognition system of the present invention, directly uses the data that on user terminal, other system has stored or image procossing to change into the biological information of user of the present invention;
Wherein, the classification of the first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Figure 10 is the structural representation of a kind of embodiment of matching module of the software logon server based on biological characteristic provided by the invention, matching module 83 comprise arrange submodule 831, chooser module 832 and contrast submodule 833,
Submodule 831 is set, for arranging similarity thresholding respectively to the classification of described biological information;
Particularly, the described biological information prestored here namely the first biological information;
The biological information of the same user of extracted twice reaches 100% identical hardly, but just can confirm that the biological information of extracted twice belongs to same user more than reaching certain similarity thresholding;
Accordingly, fingerprint characteristic similarity thresholding is arranged to fingerprint feature information, human eye iris feature similarity thresholding is arranged to human eye iris feature information, face characteristic similarity thresholding is arranged to face characteristic information.
Chooser module 832, for the classification of described biological information selected according to user, selects corresponding similarity thresholding;
Particularly, when the classification of the biological information of the user received is fingerprint feature information, then server 80 selects corresponding similarity thresholding to be fingerprint characteristic similarity thresholding;
When the classification of the biological information of the user received is human eye iris feature information, then the similarity thresholding of the correspondence of server 80 selection is human eye iris feature similarity thresholding;
When the classification of the biological information of the user received is face characteristic information, then the similarity thresholding of the correspondence of server 80 selection is face characteristic similarity thresholding.
Contrast submodule 833, when described second biological information and described first biological information contrast, when reaching corresponding similarity thresholding, then the match is successful.
Particularly, after the biological information that only have passed user is proved to be successful, user just can log in this software; Otherwise authentication failed, then refuse user and use this software;
Here, can limit the number of times of authentication failed, namely checking number of times thresholding is set, when verifying that number of times reaches checking number of times thresholding, can other mode identifying user identities such as mailbox checking be carried out, so, individual subscriber privacy can be protected more effectively.
Figure 11 is the structural representation of a kind of embodiment of software login user terminal based on biological characteristic provided by the invention, and user terminal 110 comprises the second sending module 111, acquisition module 112, the 3rd sending module 113 and receives login module 114,
Second sends mould 111, for accounts information from the user for prestoring to server 80 that send and the biological information bound with described accounts information;
Particularly, the accounts information of user and biological information by the accounts information of the user of software and biological information binding, and send to server 80 to be used for prestoring by user terminal 110; Accounts information is the personal account for logging in software that user registers; The classification of biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Acquisition module 112, for when user logs in software, obtains the biological information of user;
Particularly, when user logs in software, software interface reminding user: input biological information;
The biological information needing input is the second biological information, and the classification of the second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
3rd sending module 113, the biological information for being got by acquisition module sends to server 80, is mated by the described biological information got for server 80 with the described biological information prestored;
Particularly, inputted step by step by the prompting of software interface, then user terminal 110 finally can get the biological information of user, and then the biological information of acquisition sends to server 80 to be used for coupling by user terminal 110;
Wherein, the classification of the biological characteristic got is fingerprint feature information, human eye iris feature information or face characteristic information;
Here, it should be noted that, the second sending module 111 and the 3rd sending module 113 can be same sending modules, also can be two different sending modules.
Receive login module 114, for the login instruction that reception server 80 issues when the match is successful, and log in described software.
Particularly, instruction is logged in: for server 80 is when the match is successful, is handed down to user terminal 110 and logs in software with indicating user terminal 110; When it fails to match for server 80, then can not issue and log in instruction or issue that it fails to match information;
Here, the accounts information of the user of software is bound with the biological information prestored, and when matching result success, user can directly log in this software.
Figure 12 is the structural representation based on a kind of embodiment of the second sending module in the software login user terminal of biological characteristic provided by the invention, and the second sending module 111 comprises transmission submodule 1111 or gathers transmission submodule 1112,
Send submodule 1111, send to server 80 for described first biological information self prestored by user terminal 110;
Or, gathering and send submodule 1112, for gathering first biological information of described user, and described first biological information that described first biological information collected or user terminal 110 self prestore being sent to server 80;
Particularly, user terminal 110 gathers first biological information of user by software living creature characteristic recognition system, prestores for sending to server 80.
Particularly, the first biological information that user terminal 110 prestores refers to, software biological information recognition system of the present invention arranges an interface, mutually compatible with other living creature characteristic recognition system; Such as: can be associated with the biological information recognition system of user terminal 110 with this interface, the biological information stored in user terminal 110 is invoked at;
Also other can be utilized to have gathered the system of user biological characteristic information, it is combined with biological information recognition system of the present invention, directly uses the data that on user terminal 110, other system has stored or image procossing to change into the biological information of user of the present invention;
Wherein, the classification of the first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
Figure 13 is provided by the invention based on gathering the structural representation sending a kind of embodiment of submodule in the second sending module of biological characteristic, gathers transmission submodule 1112 and comprises scanning subelement 11121, extracts subelement 11122 and process subelement 11123,
Scanning subelement 11121, for scanning first biometric image of user in advance;
Particularly, the first biometric image comprises: fingerprint image, human eye iris image and/or facial image;
Here, the first biometric image must reach certain definition, otherwise prompting is rescaned.
Extracting subelement 11122, for sampling described first biometric image, extracting first biological characteristic of the user corresponding with described first biometric image respectively;
Here, sampling and extraction belong to prior art, repeat no more here.
Process subelement 11123, for being converted into the first digital code by described first biological characteristic, and using described first digital code as the first biological information;
Here, conversion process belongs to prior art, repeats no more here;
Wherein, the classification of described first biometric image comprises: fingerprint image, human eye iris image and/or facial image.
Figure 14 is the structural representation based on a kind of embodiment of acquisition module in the software login user terminal of biological characteristic provided by the invention, and acquisition module 112 comprises reception submodule 1121, scanning submodule 1122, extracts submodule 1123 and process submodule 1124,
Receive submodule 1121, for receiving the classification of the biological information that user selects;
Particularly, the classification of the biological information of user's selection comprises: draw together fingerprint feature information, human eye iris feature information or face characteristic information.
Scanning submodule 1122, for the classification of described biological information selected according to user, corresponding the second biometric image scanning user;
Particularly, second biometric image is corresponding with the classification of the biological information of selection, comprises fingerprint image, human eye iris image or facial image, namely, if the classification of the biological information selected is fingerprint feature information, then the second biometric image is fingerprint image; If the classification of the biological information selected is human eye iris feature information, then the second biometric image is human eye iris image; If the classification of the biological information selected is face characteristic information, then the second biometric image is facial image;
Here, the second biometric image must reach certain definition, otherwise prompting is rescaned.
Extracting submodule 1123, for sampling described second biometric image, extracting second biological characteristic of user;
Here, sampling and extraction belong to prior art, repeat no more here.
Process submodule 1124, for being converted into the second digital code by described second biological characteristic, and using described second digital code as the second biological information.
Here, conversion process belongs to prior art, repeats no more here.
In addition, user terminal 110 also comprises transmission module (not shown), preserves, can get described first biological information during software described in described user's different-place login for described first biological information being uploaded to high in the clouds.
Figure 15 is the structural representation of a kind of embodiment of software login system based on biological characteristic provided by the invention, and system 150 comprises server 80 and user terminal 110,
Server 80, for the accounts information of prestored user and the biological information bound with described accounts information; And receive the biological information that user that user terminal 110 sends obtains when logging in software; The described biological information that receives is mated with the described biological information prestored; Also for when the match is successful, issue login instruction to user terminal 110, allow user to log in described software.Particularly, the structure of server 80 is as shown in above-mentioned Fig. 8-10.
User terminal 110, for accounts information from the user for prestoring to server 80 that send and the biological information bound with described accounts information; For when user logs in software, obtain the biological information of user; Biological information for being got by acquisition module sends to server 80, is mated by the described biological information got for server 80 with the described biological information prestored; For the login instruction that reception server 80 issues when the match is successful, and log in described software.Particularly, the structure of user terminal 110 is as shown in above-mentioned Figure 11-14.
Should be appreciated that the functional module of the server 80 that the present embodiment provides and user terminal 110 can be the functional module of software module or software and hardware combining, it can be performed by processor and realize function as above.Further, server 80 and user terminal 110 can also have other functional modules to realize to be put into living things feature recognition among software unblock, solves each concrete steps of the stolen event of password, specifically can consult the corresponding description of above embodiment of the method.
In addition, person of ordinary skill in the field is understood that all or part of step realizing said method embodiment can have been come by the hardware that program command is relevant, aforesaid program can be stored in computer read/write memory medium, and performed by the processor of communication inside, aforesaid program processor when being performed can perform all or part of step comprising said method embodiment.Wherein, described processor can be implemented as one or more processor chips, or can be a part for one or more application-specific integrated circuit (ASIC) (ApplicationSpecificIntegratedCircuit, ASIC); And aforesaid storage medium can include but not limited to the storage medium with Types Below: flash memory (FlashMemory), memory (Read-OnlyMemory, ROM), random access memory (RandomAccessMemory, RAM), portable hard drive, magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above embodiment is only in order to illustrate the technical scheme of the application, be not intended to limit; Although with reference to previous embodiment to present application has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of each embodiment technical scheme of the application.
Claims (10)
1. based on a software login method for biological characteristic, it is characterized in that, described method comprises:
The accounts information of server prestored user and the biological information bound with described accounts information;
The biological information that the user that reception user terminal sends obtains when logging in software;
And the described biological information received is mated with the described biological information prestored;
When the match is successful, server issues login instruction to described user terminal, allows described user to log in described software.
2. the method for claim 1, is characterized in that, described in the biological information that prestores, be specially:
Receive and store user terminal gather the first biological information;
Or, receive and store described first biological information that user terminal prestores;
The classification of described first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
3. method as claimed in claim 2, is characterized in that, obtain when the user that described reception user terminal sends logs in software biological information be the second biological information;
The classification of described second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
4. method as claimed in claim 3, it is characterized in that, described the match is successful, specifically comprises:
Similarity thresholding is arranged respectively to the classification of the described biological information prestored;
According to the classification of the described biological information of the user received, select corresponding similarity thresholding;
When described second biological information and described first biological information contrast, when reaching corresponding similarity thresholding, then the match is successful.
5. based on a software login method for biological characteristic, it is characterized in that, described method comprises:
User terminal sends for the accounts information of user prestored and the biological information bound with described accounts information to server;
When user logs in software, user terminal obtains the biological information of user;
The biological information got is sent to described server by user terminal, is mated by the described biological information got for described server with the described biological information prestored;
User terminal receives the login instruction that described server issues when the match is successful, logs in described software.
6. based on a software logon server for biological characteristic, it is characterized in that, described server comprises:
Pre-storing module, for the accounts information of prestored user and the biological information bound with described accounts information;
Receiver module, the biological information obtained when the user sent for receiving user terminal logs in software;
Matching module, for mating the described biological information that receives with the described biological information prestored;
First sending module, for when the match is successful, issues login instruction to described user terminal, allows described user to log in described software.
7. server as claimed in claim 6, it is characterized in that, described pre-storing module, comprising:
First receive memory module, for receive and store user terminal gather the first biological information;
Or second receives memory module, for receiving and storing described first biological information that user terminal prestores;
The classification of described first biological information comprises: fingerprint feature information, human eye iris feature information and/or face characteristic information.
8. server as claimed in claim 7, is characterized in that, the biological information obtained when the user that described receiver module reception user terminal sends logs in software is the second biological information;
The classification of described second biological information comprises: fingerprint feature information, human eye iris feature information or face characteristic information.
9., based on a software login user terminal for biological characteristic, it is characterized in that, described user terminal comprises:
Second sending module, for sending for the accounts information of user prestored and the biological information bound with described accounts information to server;
Acquisition module, for when user logs in software, obtains the biological information of user;
3rd sending module, the biological information for being got by acquisition module sends to described server, is mated by the described biological information got for described server with the described biological information prestored;
Receiving login module, for receiving the login instruction that described server issues when the match is successful, and logging in described software.
10., based on a software login system for biological characteristic, it is characterized in that, comprising:
Based on the software logon server of biological characteristic as described in claim 6-8;
As claimed in claim 9 based on the software login user terminal of biological characteristic.
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Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868611A (en) * | 2016-05-04 | 2016-08-17 | 广东欧珀移动通信有限公司 | Biological-information authentication method and device and mobile terminal |
| CN105933348A (en) * | 2016-06-30 | 2016-09-07 | 广州云移信息科技有限公司 | Login method based on biological characteristics, terminal and system |
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| CN109670280A (en) * | 2018-12-11 | 2019-04-23 | 北京无线电计量测试研究所 | A kind of software authorization system and method based on living things feature recognition |
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| CN110135250A (en) * | 2019-04-08 | 2019-08-16 | 一脉通(深圳)智能科技有限公司 | A kind of auth method based on bio-identification, device, equipment and readable medium |
| CN110730169A (en) * | 2019-09-29 | 2020-01-24 | 北京东软望海科技有限公司 | Processing method, device and system for guaranteeing account security |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383704A (en) * | 2008-04-23 | 2009-03-11 | 鲁东大学 | Cipher module based on finger print recognition technology |
| CN104065817A (en) * | 2014-06-16 | 2014-09-24 | 惠州Tcl移动通信有限公司 | Mobile terminal identity authentication processing method and system based on iris identification |
| CN104732396A (en) * | 2015-03-24 | 2015-06-24 | 广东欧珀移动通信有限公司 | Payment control method and device |
-
2016
- 2016-02-15 CN CN201610086106.7A patent/CN105530267A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383704A (en) * | 2008-04-23 | 2009-03-11 | 鲁东大学 | Cipher module based on finger print recognition technology |
| CN104065817A (en) * | 2014-06-16 | 2014-09-24 | 惠州Tcl移动通信有限公司 | Mobile terminal identity authentication processing method and system based on iris identification |
| CN104732396A (en) * | 2015-03-24 | 2015-06-24 | 广东欧珀移动通信有限公司 | Payment control method and device |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN105933348A (en) * | 2016-06-30 | 2016-09-07 | 广州云移信息科技有限公司 | Login method based on biological characteristics, terminal and system |
| CN106572092A (en) * | 2016-10-29 | 2017-04-19 | 厦门中控生物识别信息技术有限公司 | Data transmission method, security integration platform and system |
| CN106529254A (en) * | 2016-11-08 | 2017-03-22 | 河南工业大学 | Convenient and safe password management method and system |
| CN106603563A (en) * | 2016-12-30 | 2017-04-26 | 厦门市美亚柏科信息股份有限公司 | Information safety realization method and system based on biometric features identification |
| WO2019011109A1 (en) * | 2017-07-14 | 2019-01-17 | Oppo广东移动通信有限公司 | Permission control method and related product |
| US11176235B2 (en) | 2017-07-14 | 2021-11-16 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Permission control method and related product |
| CN107196971A (en) * | 2017-07-19 | 2017-09-22 | 中国银行股份有限公司 | Information processing method, device, electronic equipment and server |
| CN107480494A (en) * | 2017-07-21 | 2017-12-15 | 广东欧珀移动通信有限公司 | Unlocking method and related product |
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| CN109670280A (en) * | 2018-12-11 | 2019-04-23 | 北京无线电计量测试研究所 | A kind of software authorization system and method based on living things feature recognition |
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