CN103678976A - Method for authenticating identity through handwriting input device and handwriting input device - Google Patents
Method for authenticating identity through handwriting input device and handwriting input device Download PDFInfo
- Publication number
- CN103678976A CN103678976A CN201210348277.4A CN201210348277A CN103678976A CN 103678976 A CN103678976 A CN 103678976A CN 201210348277 A CN201210348277 A CN 201210348277A CN 103678976 A CN103678976 A CN 103678976A
- Authority
- CN
- China
- Prior art keywords
- information
- authentication
- touch
- character
- input device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/30—Writer recognition; Reading and verifying signatures
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention provides a method for authenticating identity through a handwriting input device and a handwriting input device. The handwriting input device comprises a fingerprint collecting module. The method comprises the steps of collecting an input user name; collecting touch information continuously input by the user in a process of touching the handwriting input device till leaving a display screen of the handwriting input device, in which the touch information comprises information of touch points and fingerprint information collected by the fingerprint collecting module; acquiring handwriting comparing information according to the information of the touch points and identifying touch track information formed by the information of the touch points to acquire character comparing information; and extracting corresponding authentication template information according to the use name and verifying the handwriting comparing information, the character comparing information and the fingerprint information according to the authentication template information. Through the method for authenticating identity through the handwriting input device, passwords are memorized easily during authenticating the identity; and higher safety is achieved.
Description
Technical field
The application relates to information security field, particularly relates to a kind of by method and the handwriting input device of handwriting input device authenticating identity.
Background technology
Cipher authentication is the authenticating user identification mode of widespread use in various infosystems, and Current Password authentication is mainly the authentication based on close secret knowledge and bioinformation system.
Authentication based on close secret knowledge, the i.e. authentication mode based on cipher system, adopt static password tabulating method to set up one group of username and password for each validated user, user inputs correct user name, and password corresponding to this user name can be by checking, this is current most widely used verification mode.
Authentication based on bioinformation system is to authenticate according to the biological characteristic that has of individual, fingerprint for example, and fingerprint identification device receives after the fingerprint of user's input, in database, extract user's fingerprint, contrast with the fingerprint of input, if consistent, by checking.Because such biological characteristic has ubiquity, uniqueness and the feature such as permanent, the security of authentication is improved greatly.
Above problems of the prior art are:
In authentication mode based on cipher system, the setting of password can affect the security of authentication: complicated password is difficult for being cracked, safe, but user is usually difficult to remember; Simply cryptographic consumer can be remembered, but is easily cracked, and security is not high.In addition, the preservation of the password of this system is also a very scabrous problem, once hacker attacks password database will cause the leakage of a large number of users password.
In authentication mode based on bioinformation system, once biological information is just extracted, be easily replicated, also can make the security of authentication be on the hazard.
Therefore, need at present the technical matters that those skilled in the art solve to be exactly, provide a kind of password easily to remember, and the higher mechanism of passing through handwriting input device authenticating identity of security.
Summary of the invention
The application's technical matters to be solved is to provide a kind of user easily to be remembered, and the higher method of passing through handwriting input device authenticating identity of security.
It is a kind of by handwriting input device, in order to guarantee said method application and realization in practice that the application also provides.
In order to address the above problem, the application discloses a kind of method of handwriting input device authenticating identity of passing through, and described handwriting input device comprises finger print acquisition module, and described method comprises:
The user name of Gather and input;
Gather user from touching the process of the display screen that leaves handwriting input device, the touch information of inputting continuously, described touch information comprises the information of each touch point and the finger print information that finger print acquisition module gathers;
Information according to described touch point obtains writing comparison information, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information;
According to user name, extract corresponding authentication Template Information, and verify described writing comparison information, character comparison information and finger print information according to described authentication Template Information.
Preferably, described validation template information comprises writing Template Information, Character mother plate information and fingerprint template information, and the described step according to validation template Information Authentication writing comparison information, character comparison information and finger print information comprises:
Calculate respectively the difference of described writing Template Information and writing comparison information, Character mother plate information and character comparison information and fingerprint template information and finger print information, and using each difference and respective weights product as authentication similarity;
According to described authentication similarity authentication output result.
Preferably, described touch information comprises one or more, and when described touch information comprises when a plurality of, the described step according to authentication similarity authentication output result comprises:
According to the time sequencing that gathers described touch information, if when certain authentication similarity is less than pre-set threshold value, the information of return authentication failure, otherwise, continue authentication, or the successful information of return authentication.
Preferably, described touch information comprises one or more, and when described touch information comprises when a plurality of, the described step according to authentication similarity authentication output result comprises:
According to the time sequencing that gathers described touch information, if when the weighted mean value of a plurality of authentication similarities is less than pre-set threshold value, the information of return authentication failure, otherwise, the successful information of return authentication.
Preferably, when described touch information comprises that when a plurality of, described method also comprises:
According to the time sequencing gathering, successively described writing comparison information, character comparison information and finger print information are numbered;
The described step of extracting corresponding authentication Template Information according to user name is:
According to a plurality of authentication Template Informations corresponding to user name search, extract the authentication Template Information that possesses corresponding numbering in described a plurality of authentication Template Information.
Preferably, the information of described touch point comprises touch time and the touching position information of each touch point, and the step that the described information according to touch point obtains writing comparison information comprises:
The touch point of choosing default number or preset ratio, carries out curve fitting to touch time and the touching position information of the touch point of choosing, and the fitting function obtaining is described writing comparison information.
Preferably, the display screen of described handwriting input device is divided into a plurality of blocks, and described character comparison information also comprises the block information under described character, and described method also comprises:
By the touching position information of each touch point and the coordinate information of each block, obtain the affiliated block information of described character.
Preferably, described handwriting input device comprises touch-screen or handwriting pad.
The application also provides a kind of handwriting input device, comprising:
User name acquisition module, for the user name of Gather and input;
Information acquisition module, for gathering user from touching the process of the display screen that leaves handwriting input device, the touch information of inputting continuously, described touch information comprises the information of each touch point and the finger print information that fingerprint collecting submodule gathers;
Comparison information generation module, obtains writing comparison information for the information according to described touch point, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information;
Authentication module, for extract corresponding authentication Template Information according to user name, and verifies described writing comparison information, character comparison information and finger print information according to described authentication Template Information.
Preferably, described validation template information comprises writing Template Information, Character mother plate information and fingerprint template information, and described authentication module comprises:
Authentication similarity calculating sub module, for calculating respectively the difference of described writing Template Information and writing comparison information, Character mother plate information and character comparison information and fingerprint template information and finger print information, and using the product of each difference and respective weights as authenticating similarity;
Authentication result output sub-module, for according to described authentication similarity authentication output result.
Compared with prior art, the application has the following advantages:
When the handwriting input device of user by the application carries out authentication, can gather information and the finger print information of touch point simultaneously, information according to touch point can generate character information and writing information, then user's the Template Information prestoring is verified to this three kinds of information.Because the application is by character, three kinds of information combination of writing and fingerprint rise and are used as password, if desired decryption needs to have these three kinds of information with certain similarity simultaneously, therefore, the application's auth method is than prior art, security improves greatly, and, the probability that simultaneously has person's handwriting and fingerprint due to non-user is very little, even if character is revealed also and is difficult to by the checking of person's handwriting and fingerprint, therefore, user can select simple character easy to remember, such as name, birthday, the general information such as room number, and do not worry forgetting about password or peeped or steal.The application's authentication mode can for example, for high-grade security system, electronic lock.
The application is when carrying out authentication, what gather is user's touch information of input continuously, be that user is when input password, after stroke of every collection, just verify, if certain stroke or several stroke can not think authentication failed by checking, than prior art, improved the efficiency of checking.
In addition, because finger print information can be identified individual identity, when non-user carries out authentication, can pass through fingerprint recognition assailant's identity, and then find out assailant's information.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of embodiment of the method 1 by handwriting input device authenticating identity of the application;
Fig. 2 is the process flow diagram of a kind of embodiment of the method 2 by handwriting input device authenticating identity of the application;
Fig. 3 is the structured flowchart of embodiment 1 of a kind of handwriting input device of the application;
Fig. 4 is the structured flowchart of embodiment 2 of a kind of handwriting input device of the application;
Fig. 5 is the schematic diagram that utilizes the application's handwriting input device input password.
Embodiment
For the application's above-mentioned purpose, feature and advantage can be become apparent more, below in conjunction with the drawings and specific embodiments, the application is described in further detail.
With reference to figure 1, show the process flow diagram of a kind of embodiment of the method 1 by handwriting input device authenticating identity of the application, described handwriting input device comprises finger print acquisition module, described method specifically can comprise the following steps:
The user name of step 101, Gather and input.
Authentication is that the password of the instant input of user and the password template prestoring are contrasted, and therefore, when carrying out authentication, user need to input user name, so that rely on user name to extract password template, verifies.
The application's handwriting input device can be touch-screen or handwriting pad, and the continuous touch information of collection refers to that from user, contacting display screen leaves the touch information of a plurality of touch points that comprise the process of display screen to user.
Touch-screen is by touching detection part and touch screen controller forms; Touch detection part and be arranged on display screen, for detection of user touch location, after reception, send touch screen controller; And the Main Function of touch screen controller is to receive touch information from touch point detection device, and convert it the coordinate information of touch point to.The principle of work of the handwriting pad of digital type and pressure-sensitive is all to have adopted electromagnetic induction technology, the sensor that has marshalling on board, when user uses writing pencil contact touch-screen, writing pencil is launched electromagnetic wave, after sensor sensing arrives, calculate the positional information at the place of pen.
When user touches on the display screen of touch-screen or handwriting pad, can gather the information of each touch point, comprise touch time and the touching position information of touch point.
Unlike the prior art, the application's handwriting input device includes finger print acquisition module, and finger print acquisition module can have two kinds, and a kind of is to gather fingerprint by optical imagery, and a kind of is to gather fingerprint by capacitance imaging.
The finger print acquisition module of optical imagery comprises a series of light path imaging unit, particularly, light path imaging unit comprises prism in display screen, lens combination and imageing sensor, imageing sensor can be CMOS(Complementary Metal Oxide Semiconductor, CMOS chips) or CCD(Charge-coupled Device, charge coupled cell), when user contacts display screen, reflected light is converted to the electric signal of fingerprint image by imageing sensor.The finger print acquisition module of capacitance imaging can comprise the capacitive transducer (for example semicoductor capacitor sensor) in display screen, principle is to vary in size according to the granuloplastic capacitance of capacitive sensing of the ridge of fingerprint and paddy and each pixel, detect the ridge of fingerprint and the position of paddy, thereby generate fingerprint image data.
Fig. 5 is the schematic diagram that utilizes the application's handwriting input device input password, and " close " word of take is example, can collect character, writing and the finger print information of " close " word.
The information of step 103, the described touch point of foundation obtains writing comparison information, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information.
In a preferred embodiment of the present application, the information of described touch point can comprise touch time and the touching position information of each touch point, and described step 103 can comprise:
Sub-step S31, choose the touch point of default number or preset ratio, touch time and the touching position information of the touch point of choosing are carried out curve fitting, the fitting function obtaining is described writing comparison information.
According to touch point, can obtain two kinds of information, the character information that a kind of user of being inputs, a kind of is the handwriting information of user's character.
The touch track information forming by the information to each touch point is identified and can be obtained character information.Particularly, the information of touch point comprises touch time and the positional information of touch point, gathered after the touch time and positional information of each touch point, sequencing according to touch time of these touch points can couple together touch point, just become a numerical value vector in space, after each stroke template in this numerical value vector and initialized data base is contrasted, can obtain the type (such as point, slash etc.) of this stroke, can be using the type of stroke as character information.Concrete, character can be letter, digital Chinese character or pattern etc.
Person's handwriting refers to the peculiar body feature one finger original handwriting of word that each individual writes.Different people will inevitably form different person's handwritings.Writing information refers to the weight of character when writing, the writing characteristic reflecting in the ratio of turnover and stroke.Concrete, due to user, the touch point quantity of input may be more continuously, can choose certain proportion or a certain number of touch point, then touch time and the positional information according to these touch points carries out curve fitting, fitting function is the another kind of form of expression of the feature of this writing, can be using fitting function as writing information.
According to user name, can extract the authentication Template Information of this user preset, authentication Template Information and the comparison information gathering are above compared, carry out the checking of user identity.
Concrete, described validation template information can comprise writing Template Information, Character mother plate information and fingerprint template information, described step 104 can comprise:
Sub-step S11, calculate respectively the difference of described writing Template Information and writing comparison information, Character mother plate information and character comparison information and fingerprint template information and finger print information, and using the product of each difference and respective weights as authentication similarity.
When comparing, writing Template Information and writing comparison information are compared, and Character mother plate information and character comparison information are compared, and finger print information and fingerprint template information are compared, calculate respectively the difference of comparison, then using each difference to be multiplied by corresponding weight as the similarity of authentication.
In concrete realization, can be by character information, writing information and finger print information represent with vectorial form: vector={[character information], [writing information], [finger print information] }, wherein, vector[1] and first continuous touch information of representative input.
For the comparison information gathering, can be expressed as: vector={[stroke type], [person's handwriting fitting function], [finger print information] }.
Wherein, finger print information can be the fingerprint of several touch points wherein, for example: vector={[stroke type], [person's handwriting fitting function], [(starting point, fingerprint shape picture is (certain some a), fingerprint shape picture p) (terminal, fingerprint shape picture b)] }, wherein, starting point and terminal determine according to the touch time of each touch point, is respectively first point that user contacts display screen and last point that leaves display screen and contact.
The process of calculating similarity according to each difference can be expressed as:
For Diff={A (stroke type diff), B (person's handwriting fitting function diff), C (starting point diff*a+ point diff*b+ terminal diff*c) }, wherein, the weight that A, B, C are each difference, a, b, c are the weight of the finger print information difference of each point.
Take Fig. 5 as example, certain user M input password, for first stroke " point " of input, stroke type is designated as a little, person's handwriting fitting function is expressed as y=2.7x+b approx, be designated as Y, the finger print information of starting point 0 and terminal n be designated as Z=(0, finger_pic_0) (n, finger_pic_end)], obtain like this Vector Groups vector[1]={ [Character (" point ")], Y, Z}.
Extract the Template Information of " point " and the comparison information of collection and contrast, for example, Template Information is:
Vector[1] '={ [Character (" point ")], Y ', Z ' }, wherein Y '=2.5x+b.
The similarity of " point " this stroke can be expressed as:
Diff (vector[1], vector_1[1])=A*[diff (Character (" point ")-Character (" point "))], B*[dfii (Y-Y ')], C[a*diff (finger_pic_0-finger_pic_0), b*diff (finger__pic_end-finger_pic_end)].
According to the similarity of curve fitting algorithm digital simulation curve:
Diff(Y-Y′)=0.01。
According to picture, contrast the similarity of algorithm calculated fingerprint:
a*diff(finger_pic_0-finger_pic_0)，b*diff?finger_pic_end-finger__pic_end)=0.001）。
Can obtain thus:
Diff (vector[1], vector[1] ')=[A*0, B*0.01, C*0.001], when A=B=C=1/3, can obtain:
Diff＝1/3*(0)+1/3*(0.01)+1/3*(0.001)=0.00367。
When another one people N inputs same password, obtain vectorial array vector[1] ":
Vector[1] "=[Character (" point ")], Y ", Z " }
Diff(vector[1 correspondingly], vector[1] ")=A*[diff (Character (" point ")-Character (" point "))]; B*[dfii (y-y3)]; C*[a*diff (finger_pic_0-finger_pic_0_d), b*diff (finger_pic_end-finger_pic_end_3)] }
Same method can obtain:
Diff (vector[1] ', vector[1] ")=[A*0, B*0.543, C*0.78], when A=B=C=1/3, can obtain:
Diff=1/3* (0)+1/3* (0.543)+1/3* (0.78)=0.441, visible N input point similarity is greater than the similarity of M.
Sub-step S12, according to described authentication similarity authentication output result.
Described touch information can comprise one or more, when described touch information comprises that when a plurality of, described sub-step S12 can comprise:
Sub-step S12-1, according to the time sequencing that gathers described touch information, if when certain authentication similarity is less than pre-set threshold value, the information of return authentication failure, otherwise, continue authentication, or the successful information of return authentication.
In concrete realization, can gather a plurality of continuous touch information of user's input, for example, the character of user cipher is " close ", user is 11 strokes such as input point, slash, cross break successively, handwriting input device can be inputted continuously touch information (stroke) from first and just start authentication, if the authentication similarity of certain stroke is lower than certain preset value, just can think authentification failure, information that can return authentication failure, if higher than authentication similarity, can continue other strokes to authenticate, or think authentication success, the successful information of return authentication.
Described touch information can comprise one or more, when described touch information comprises that when a plurality of, described sub-step S12 comprises:
Sub-step S12-2, according to the time sequencing that gathers described touch information, if when the weighted mean value of a plurality of authentication similarities is less than pre-set threshold value, the information of return authentication failure, otherwise, the successful information of return authentication.
In another preferred embodiment of the present application, can judge by the authentication similarity of a plurality of strokes whether authentication is passed through, concrete, after having obtained the similarity of a plurality of strokes, whether the weighted mean value that judges similarity is less than certain preset value, if be less than, and the information of return authentication failure, otherwise, the successful information of return authentication.
In concrete realization, when described touch information comprises that when a plurality of, described method can also comprise:
According to the time sequencing gathering, successively described writing comparison information, character comparison information and finger print information are numbered.Described step 104 can comprise:
Sub-step S21, according to a plurality of authentication Template Informations corresponding to user name search, extract the authentication Template Information that possesses corresponding numbering in described a plurality of authentication Template Information.
When touch information comprises when a plurality of, can be numbered the information gathering, for example, " close " word comprises 11 strokes, and user can input 11 continuous touch informations successively, also can comprise 11 information in the Template Information prestoring, when gathering touch information, can, by each continuous touch information numbering, in comparison, can extract corresponding Template Information according to numbering and verify.
With reference to figure 2, show the process flow diagram of a kind of embodiment of the method 2 by handwriting input device authenticating identity of the application, described handwriting input device comprises finger print acquisition module, described method specifically can comprise the following steps:
The user name of step 201, Gather and input;
The information of step 203, the described touch point of foundation obtains writing comparison information, the touch track information that the information of each touch point is formed is identified and is obtained character comparison information, wherein, described character comparison information also comprises by the touching position information of each touch point and the coordinate information of each block, the block information under the described character obtaining.
In this application, different from last embodiment, in the present embodiment, the display screen of described handwriting input device is divided into a plurality of blocks, in character comparison information, can also comprise the block information that character is affiliated, when user rs authentication identity, on display screen, can occur dividing accordingly block, take input " close " be example, referring to Fig. 5, display screen is divided into nine, and each stroke of " close " word is distributed in different lattice, for example, first stroke " point " is positioned at the second lattice.Second stroke " slash " is positioned at the first and the 4th lattice.
The vector of corresponding comparison information can be expressed as vector={[stroke type, affiliated block], [person's handwriting fitting function], [finger print information] }, and when calculating similarity, stroke type and affiliated block are distributed to corresponding weight.
In sum, when the handwriting input device of user by the application carries out authentication, can gather information and the finger print information of touch point simultaneously, according to the information of touch point, can generate character information and writing information, then user's the Template Information prestoring be verified to this three kinds of information.Because the application is by character, three kinds of information combination of writing and fingerprint rise and are used as password, if desired decryption needs to have these three kinds of information with certain similarity simultaneously, therefore, the application's auth method is than prior art, security improves greatly, and, the probability that simultaneously has person's handwriting and fingerprint due to non-user is very little, even if character is revealed also and is difficult to by the checking of person's handwriting and fingerprint, therefore, user can select simple character easy to remember, such as name, birthday, the general information such as room number, and do not worry forgetting about password or peeped or steal.The application's authentication mode can for example, for high-grade security system, electronic lock.
The application is when carrying out authentication, what gather is user's touch information of input continuously, be that user is when input password, after stroke of every collection, just verify, if certain stroke or several stroke can not think authentication failed by checking, than prior art, improved the efficiency of checking.
In addition, because finger print information can be identified individual identity, when non-user carries out authentication, can pass through fingerprint recognition assailant's identity, and then find out assailant's information.
For embodiment of the method, for simple description, therefore it is all expressed as to a series of combination of actions, but those skilled in the art should know, the application is not subject to the restriction of described sequence of movement, because according to the application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and related action and module might not be that the application is necessary.
With reference to figure 3, show the structured flowchart of embodiment 1 of a kind of handwriting input device of the application, specifically can comprise with lower module:
User name acquisition module 301, for the user name of Gather and input;
Information acquisition module 302, for gathering user from touching the process of the display screen that leaves handwriting input device, the touch information of inputting continuously, described touch information comprises the information of each touch point and the finger print information that fingerprint collecting submodule gathers;
Comparison information generation module 303, obtains writing comparison information for the information according to described touch point, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information;
Authentication module 304, for extract corresponding authentication Template Information according to user name, and verifies described writing comparison information, character comparison information and finger print information according to described authentication Template Information.
In a preferred embodiment of the present application, described validation template information can comprise writing Template Information, Character mother plate information and fingerprint template information, and described authentication module can comprise:
Authentication similarity calculating sub module, for calculating respectively the difference of described writing Template Information and writing comparison information, Character mother plate information and character comparison information and fingerprint template information and finger print information, and using the product of each difference and respective weights as authenticating similarity;
Authentication result output sub-module, for according to described authentication similarity authentication output result.
In a preferred embodiment of the present application, described touch information can comprise one or more, when described touch information comprises that when a plurality of, described authentication result output sub-module can comprise:
The first information returns to subelement, for the time sequencing according to gathering described touch information, if when certain authentication similarity is less than pre-set threshold value, and the information of return authentication failure, otherwise, continue authentication, or the successful information of return authentication.
In another preferred embodiment of the present application, described touch information can comprise one or more, when described touch information comprises that when a plurality of, described authentication result output sub-module can comprise:
The second information is returned to subelement, for the time sequencing according to gathering described touch information, if when the weighted mean value of a plurality of authentication similarities is less than pre-set threshold value, and the information of return authentication failure, otherwise, the successful information of return authentication.
In a preferred embodiment of the present application, when described touch information comprises that when a plurality of, described handwriting input device can also comprise:
Numbering module, is numbered described writing comparison information, character comparison information and finger print information successively for the time sequencing according to gathering;
Described authentication module can comprise:
Authentication Template Information extracts submodule, for according to a plurality of authentication Template Informations corresponding to user name search, extracts the authentication Template Information that possesses corresponding numbering in described a plurality of authentication Template Information.
In a preferred embodiment of the present application, the information of described touch point can comprise touch time and the touching position information of each touch point, and described comparison information generation module can comprise:
Matching submodule, for choosing the touch point of default number or preset ratio, carries out curve fitting to touch time and the touching position information of the touch point of choosing, and the fitting function obtaining is described writing comparison information.
In concrete realization, described handwriting input device comprises touch-screen or handwriting pad.
With reference to figure 4, show the structured flowchart of embodiment 2 of a kind of handwriting input device of the application, specifically can comprise with lower module:
User name acquisition module 401, for the user name of Gather and input;
Information acquisition module 402, for gathering user from touching the process of the display screen that leaves handwriting input device, the touch information of inputting continuously, described touch information comprises the information of each touch point and the finger print information that fingerprint collecting submodule gathers;
Comparison information generation module 403, obtains writing comparison information for the information according to described touch point, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information;
The display screen of described handwriting input device can be divided into a plurality of blocks, and described character comparison information can also comprise the block information under described character, and described handwriting input device can also comprise:
Block information acquisition module 404, for the coordinate information of the touching position information by each touch point and each block, obtains the affiliated block information of described character.
Authentication module 405, for extract corresponding authentication Template Information according to user name, and verifies described writing comparison information, character comparison information and finger print information according to described authentication Template Information.
Because described device embodiment is substantially corresponding to the embodiment of the method shown in earlier figures 1 and Fig. 2, therefore not detailed part in the description of the present embodiment can, referring to the related description in previous embodiment, just not repeat at this.
The application can be used in numerous general or special purpose computingasystem environment or configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multicomputer system, the system based on microprocessor, set top box, programmable consumer-elcetronics devices, network PC, small-size computer, mainframe computer, comprise distributed computing environment of above any system or equipment etc.
The application can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract data type, program, object, assembly, data structure etc.Also can in distributed computing environment, put into practice the application, in these distributed computing environment, by the teleprocessing equipment being connected by communication network, be executed the task.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.
In this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby the process, method, article or the equipment that make to comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or be also included as the intrinsic key element of this process, method, article or equipment.The in the situation that of more restrictions not, the key element being limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
What above the application is provided is a kind of by the method for handwriting input device authenticating identity, and, a kind of handwriting input device is described in detail, applied specific case herein the application's principle and embodiment are set forth, the explanation of above embodiment is just for helping to understand the application's method and core concept thereof; Meanwhile, for one of ordinary skill in the art, the thought according to the application, all will change in specific embodiments and applications, and in sum, this description should not be construed as the restriction to the application.
Claims (10)
1. by a method for handwriting input device authenticating identity, it is characterized in that, described handwriting input device comprises finger print acquisition module, and described method comprises:
The user name of Gather and input;
Gather user from touching the process of the display screen that leaves handwriting input device, the touch information of inputting continuously, described touch information comprises the information of each touch point and the finger print information that finger print acquisition module gathers;
Information according to described touch point obtains writing comparison information, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information;
According to user name, extract corresponding authentication Template Information, and verify described writing comparison information, character comparison information and finger print information according to described authentication Template Information.
2. the method for claim 1, it is characterized in that, described validation template information comprises writing Template Information, Character mother plate information and fingerprint template information, and the described step according to validation template Information Authentication writing comparison information, character comparison information and finger print information comprises:
Calculate respectively the difference of described writing Template Information and writing comparison information, Character mother plate information and character comparison information and fingerprint template information and finger print information, and using each difference and respective weights product as authentication similarity;
According to described authentication similarity authentication output result.
3. method as claimed in claim 2, is characterized in that, described touch information comprises one or more, and when described touch information comprises when a plurality of, the described step according to authentication similarity authentication output result comprises:
According to the time sequencing that gathers described touch information, if when certain authentication similarity is less than pre-set threshold value, the information of return authentication failure, otherwise, continue authentication, or the successful information of return authentication.
4. method as claimed in claim 2, is characterized in that, described touch information comprises one or more, and when described touch information comprises when a plurality of, the described step according to authentication similarity authentication output result comprises:
According to the time sequencing that gathers described touch information, if when the weighted mean value of a plurality of authentication similarities is less than pre-set threshold value, the information of return authentication failure, otherwise, the successful information of return authentication.
5. the method as described in claim 3 or 4, is characterized in that, when described touch information comprises that when a plurality of, described method also comprises:
According to the time sequencing gathering, successively described writing comparison information, character comparison information and finger print information are numbered;
The described step of extracting corresponding authentication Template Information according to user name is:
According to a plurality of authentication Template Informations corresponding to user name search, extract the authentication Template Information that possesses corresponding numbering in described a plurality of authentication Template Information.
6. the method for claim 1, is characterized in that, the information of described touch point comprises touch time and the touching position information of each touch point, and the step that the described information according to touch point obtains writing comparison information comprises:
The touch point of choosing default number or preset ratio, carries out curve fitting to touch time and the touching position information of the touch point of choosing, and the fitting function obtaining is described writing comparison information.
7. method as claimed in claim 2, is characterized in that, the display screen of described handwriting input device is divided into a plurality of blocks, and described character comparison information also comprises the block information under described character, and described method also comprises:
By the touching position information of each touch point and the coordinate information of each block, obtain the affiliated block information of described character.
8. the method for claim 1, is characterized in that, described handwriting input device comprises touch-screen or handwriting pad.
9. a handwriting input device, is characterized in that, comprising:
User name acquisition module, for the user name of Gather and input;
Information acquisition module, for gathering user from touching the process of the display screen that leaves handwriting input device, the touch information of inputting continuously, described touch information comprises the information of each touch point and the finger print information that fingerprint collecting submodule gathers;
Comparison information generation module, obtains writing comparison information for the information according to described touch point, and the touch track information that the information of each touch point is formed is identified and obtained character comparison information;
Authentication module, for extract corresponding authentication Template Information according to user name, and verifies described writing comparison information, character comparison information and finger print information according to described authentication Template Information.
10. method as claimed in claim 9, is characterized in that, described validation template information comprises writing Template Information, Character mother plate information and fingerprint template information, and described authentication module comprises:
Authentication similarity calculating sub module, for calculating respectively the difference of described writing Template Information and writing comparison information, Character mother plate information and character comparison information and fingerprint template information and finger print information, and using the product of each difference and respective weights as authenticating similarity;
Authentication result output sub-module, for according to described authentication similarity authentication output result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210348277.4A CN103678976A (en) | 2012-09-18 | 2012-09-18 | Method for authenticating identity through handwriting input device and handwriting input device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210348277.4A CN103678976A (en) | 2012-09-18 | 2012-09-18 | Method for authenticating identity through handwriting input device and handwriting input device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103678976A true CN103678976A (en) | 2014-03-26 |
Family
ID=50316499
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210348277.4A Pending CN103678976A (en) | 2012-09-18 | 2012-09-18 | Method for authenticating identity through handwriting input device and handwriting input device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103678976A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239770A (en) * | 2014-09-23 | 2014-12-24 | 陈包容 | Method and system for enabling mobile terminal to enter application program under standby state |
| CN104680047A (en) * | 2015-01-23 | 2015-06-03 | 合肥联宝信息技术有限公司 | Method and device for electronic authentication |
| CN104765994A (en) * | 2015-04-17 | 2015-07-08 | 努比亚技术有限公司 | User identity recognition method and device |
| CN105335641A (en) * | 2015-10-16 | 2016-02-17 | 宇龙计算机通信科技(深圳)有限公司 | Identity authentication method and device based on fingerprint identification |
| CN105426729A (en) * | 2015-12-21 | 2016-03-23 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN106161474A (en) * | 2016-09-05 | 2016-11-23 | 努比亚技术有限公司 | A kind of password determines apparatus and method |
| CN106951832A (en) * | 2017-02-28 | 2017-07-14 | 广东数相智能科技有限公司 | A kind of verification method and device based on Handwritten Digits Recognition |
| CN107358148A (en) * | 2017-05-24 | 2017-11-17 | 广东数相智能科技有限公司 | A kind of method and device of the anti-cheating network research based on handwriting recognition |
| CN108496175A (en) * | 2015-09-10 | 2018-09-04 | 奥誓公司 | By external equipment based on the user's identification for touching progress each time on touch-sensitive device |
| CN109872574A (en) * | 2019-02-28 | 2019-06-11 | 安徽信息工程学院 | A kind of intelligent blackboard structure |
| CN111143541A (en) * | 2020-03-07 | 2020-05-12 | 合肥煜极网络科技有限公司 | Character generation system for deep learning based on handwriting |
| CN111241500A (en) * | 2014-09-16 | 2020-06-05 | 阿里巴巴集团控股有限公司 | Verification method and device |
| CN111314299A (en) * | 2015-08-19 | 2020-06-19 | 阿里巴巴集团控股有限公司 | Identity verification method, device and system |
| CN116028911A (en) * | 2023-02-01 | 2023-04-28 | 云丁网络技术(北京)有限公司 | Symbol recognition method and device, intelligent door lock, electronic equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070150842A1 (en) * | 2005-12-23 | 2007-06-28 | Imran Chaudhri | Unlocking a device by performing gestures on an unlock image |
| CN101556636A (en) * | 2009-03-06 | 2009-10-14 | 上海凌锐信息技术有限公司 | Biometric recognition device combining body capacitance with handwriting identification and realizing method thereof |
| CN101626417A (en) * | 2008-07-08 | 2010-01-13 | 鸿富锦精密工业（深圳）有限公司 | Method for mobile terminal authentication |
| CN102609735A (en) * | 2012-02-06 | 2012-07-25 | 安徽科大讯飞信息科技股份有限公司 | Method and apparatus for assessing standard fulfillment of character writing |
-
2012
- 2012-09-18 CN CN201210348277.4A patent/CN103678976A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070150842A1 (en) * | 2005-12-23 | 2007-06-28 | Imran Chaudhri | Unlocking a device by performing gestures on an unlock image |
| CN101626417A (en) * | 2008-07-08 | 2010-01-13 | 鸿富锦精密工业（深圳）有限公司 | Method for mobile terminal authentication |
| CN101556636A (en) * | 2009-03-06 | 2009-10-14 | 上海凌锐信息技术有限公司 | Biometric recognition device combining body capacitance with handwriting identification and realizing method thereof |
| CN102609735A (en) * | 2012-02-06 | 2012-07-25 | 安徽科大讯飞信息科技股份有限公司 | Method and apparatus for assessing standard fulfillment of character writing |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111241500A (en) * | 2014-09-16 | 2020-06-05 | 阿里巴巴集团控股有限公司 | Verification method and device |
| CN104239770A (en) * | 2014-09-23 | 2014-12-24 | 陈包容 | Method and system for enabling mobile terminal to enter application program under standby state |
| CN104680047A (en) * | 2015-01-23 | 2015-06-03 | 合肥联宝信息技术有限公司 | Method and device for electronic authentication |
| CN104765994A (en) * | 2015-04-17 | 2015-07-08 | 努比亚技术有限公司 | User identity recognition method and device |
| CN111314299A (en) * | 2015-08-19 | 2020-06-19 | 阿里巴巴集团控股有限公司 | Identity verification method, device and system |
| CN108496175A (en) * | 2015-09-10 | 2018-09-04 | 奥誓公司 | By external equipment based on the user's identification for touching progress each time on touch-sensitive device |
| CN105335641B (en) * | 2015-10-16 | 2018-06-19 | 宇龙计算机通信科技(深圳)有限公司 | A kind of auth method and device based on fingerprint recognition |
| CN105335641A (en) * | 2015-10-16 | 2016-02-17 | 宇龙计算机通信科技(深圳)有限公司 | Identity authentication method and device based on fingerprint identification |
| CN105426729A (en) * | 2015-12-21 | 2016-03-23 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN105426729B (en) * | 2015-12-21 | 2018-08-31 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| US10372890B2 (en) | 2015-12-21 | 2019-08-06 | Lenovo (Beijing) Limited | Apparatus and method for verifying an identity of a user |
| CN106161474B (en) * | 2016-09-05 | 2020-03-27 | 努比亚技术有限公司 | Password determination device and method |
| CN106161474A (en) * | 2016-09-05 | 2016-11-23 | 努比亚技术有限公司 | A kind of password determines apparatus and method |
| CN106951832A (en) * | 2017-02-28 | 2017-07-14 | 广东数相智能科技有限公司 | A kind of verification method and device based on Handwritten Digits Recognition |
| CN107358148A (en) * | 2017-05-24 | 2017-11-17 | 广东数相智能科技有限公司 | A kind of method and device of the anti-cheating network research based on handwriting recognition |
| CN109872574A (en) * | 2019-02-28 | 2019-06-11 | 安徽信息工程学院 | A kind of intelligent blackboard structure |
| CN111143541A (en) * | 2020-03-07 | 2020-05-12 | 合肥煜极网络科技有限公司 | Character generation system for deep learning based on handwriting |
| CN111143541B (en) * | 2020-03-07 | 2023-11-03 | 合肥煜极网络科技有限公司 | Font generation system for deep learning based on handwriting |
| CN116028911A (en) * | 2023-02-01 | 2023-04-28 | 云丁网络技术(北京)有限公司 | Symbol recognition method and device, intelligent door lock, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103678976A (en) | Method for authenticating identity through handwriting input device and handwriting input device | |
| Shahzad et al. | Behavior based human authentication on touch screen devices using gestures and signatures | |
| US9553871B2 (en) | Clock synchronized dynamic password security label validity real-time authentication system and method thereof | |
| US10169558B2 (en) | Enhancing biometric security of a system | |
| KR102143574B1 (en) | Method and apparatus for online signature vefication using proximity touch | |
| CN104050406A (en) | Method and terminal equipment for carrying out authentication through fingerprint combinations | |
| CN102609129A (en) | User identification with biokinematic input | |
| CN103034429A (en) | Identity authentication method and device for touch screen | |
| CN105981045A (en) | Fingerprint authentication using touch sensor data | |
| CN108197445A (en) | Computer user's identity recognition device and application method | |
| CN104318147A (en) | Information processing method and electronic device | |
| Tolosana et al. | BioTouchPass: Handwritten passwords for touchscreen biometrics | |
| WO2017193165A1 (en) | Authenticating a user | |
| CN103761502A (en) | Safety certification device and method | |
| CN102223233A (en) | Biological code authentication system and biological code authentication method | |
| CN103186769A (en) | Method and system for fingerprint verification, and fingerprint collector | |
| US9202035B1 (en) | User authentication based on biometric handwriting aspects of a handwritten code | |
| Koong et al. | A user authentication scheme using physiological and behavioral biometrics for multitouch devices | |
| CN105025018A (en) | Method for safety verification in communication process | |
| Rilvan et al. | Capacitive swipe gesture based smartphone user authentication and identification | |
| CN108460260A (en) | The method of detecting system, fingerprint sensor and related finger touching certification | |
| JP5397178B2 (en) | Authentication information input device, authentication information input method, and authentication information input program | |
| Gao et al. | Usability and security of the recall-based graphical password schemes | |
| Hasan et al. | Reliable identity management system using Raspberry Pi | |
| Qiao et al. | A novel touchscreen-based authentication scheme using static and dynamic hand biometrics |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140326 |