CN104036268A - Fingerprint registration method, rapid fingerprint authentication method and terminal device - Google Patents
Fingerprint registration method, rapid fingerprint authentication method and terminal device Download PDFInfo
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Abstract
The invention relates to a fingerprint registration method, a rapid fingerprint authentication method and a terminal device. The fingerprint registration method comprises the step of collecting the fingerprints of users, the step of extracting macro information and feature point information of the fingerprints, and the step of storing the macro information and the feature point information so that the macro information and the feature point information can be used for fingerprint registration of the users.
Description
Technical field
The disclosure relates to fingerprint recognition, in particular to a kind of fingerprint register method, quick fingerprint verification method and terminal device.
Background technology
Some biological characteristic of human body (as finger print/palm print) is the unique feature of human body, and their complexity can be provided for the enough feature quantity of differentiating.
The recognition technologies such as finger print/palm print fingerprint are the most ripe and low-cost biometrics identification technologies at present.Fingerprint identification technology is used widely.We not only can see the figure of fingerprint identification technology in gate inhibition, attendance checking system, also have the application of more fingerprint recognition on market: as notebook computer, mobile phone, automobile, bank paying all can employing fingerprint identification technology.Particularly, along with the development of smart mobile phone, will there are a large amount of demands relevant to fingerprint recognition, for example, utilize fingerprint recognition release mobile phone, protection privacy information, ensure transaction security etc.
Along with the development of mobile device, internet, people have more and more needed to carry out for example commercial application operating that pays or carry out the certain authority of some needs of issued transaction by network.Traditionally, these need the activity of authority and/or authentication to rely on the user name and password to carry out, or are undertaken by usb key etc.Traditional method or safe coefficient are not high, or complicated operation, ease for use are poor.
Biological identification technology, for example fingerprint identification technology, has safety and advantage easily, is the direction of future development.
Therefore, need a series of technology and the application that development is relevant to fingerprint identification technology.
In the disclosed above-mentioned information of described background technology part, only for strengthening the understanding to background of the present disclosure, therefore it can comprise the information not forming prior art known to persons of ordinary skill in the art.
Summary of the invention
The application discloses a kind of fingerprint register method, fast fingerprint verification method and terminal device, can realize fast, finger print identifying flexibly.
Other characteristics of the present disclosure and advantage will become obviously by detailed description below, or the partly acquistion by practice of the present disclosure.
According to an aspect of the present disclosure, a kind of fingerprint register method is provided, comprising: the fingerprint that gathers user; Extract macroscopic information and the characteristic point information of described fingerprint; Store described macroscopic information and described characteristic point information, for this user's fingerprint register.
According to some embodiment, described macroscopic information is line type information.
According to some embodiment, macroscopic information is that line is counted information.
According to some embodiment, macroscopic information comprises that line type information and line count information.
According to another aspect of the present disclosure, a kind of fingerprint verification method is fast provided, comprising: the fingerprint that gathers user; Extract the macroscopic information of described fingerprint; Described macroscopic information and the fingerprint macroscopic information that prestores are compared, judged whether described macroscopic information conforms to the fingerprint macroscopic information that prestores; If described macroscopic information does not conform to the fingerprint macroscopic information that prestores, confirm that this user does not pass through finger print identifying; If described macroscopic information conforms to the fingerprint macroscopic information that prestores, continue to carry out following operation: the characteristic point information that extracts described fingerprint; Described characteristic point information and the fingerprint characteristic dot information that prestores are compared, judged whether described characteristic point information conforms to the fingerprint characteristic dot information that prestores, if conformed to, confirm that this user is by finger print identifying, otherwise confirm that this user does not pass through finger print identifying.
According to another aspect of the present disclosure, a kind of terminal device is provided, comprising: finger print acquisition module, for gathering user's fingerprint; Macroscopic information extraction module, for the macroscopic information of the fingerprint extraction fingerprint from gathering; Characteristic point information extraction module, for the fingerprint extraction characteristic point information from gathering; Fingerprint macroscopic information comparing module, for comparing described macroscopic information and the fingerprint macroscopic information that prestores; Fingerprint feature point information comparison module, for comparing described characteristic point information and the fingerprint characteristic dot information that prestores; Certification control module, is configured in the time carrying out finger print identifying: the fingerprint of controlling finger print acquisition module collection user; Control the macroscopic information of macroscopic information extraction module from the fingerprint extraction fingerprint of collection; Controlling fingerprint macroscopic information comparing module compares described macroscopic information and the fingerprint macroscopic information that prestores, judge whether described macroscopic information conforms to the fingerprint macroscopic information that prestores, if described macroscopic information does not conform to the fingerprint macroscopic information that prestores, confirm that this user does not pass through finger print identifying; If described macroscopic information conforms to the fingerprint macroscopic information that prestores: the fingerprint extraction characteristic point information of controlling feature point extraction module from gathering; Controlling fingerprint feature point information comparison module compares described characteristic point information and the fingerprint characteristic dot information that prestores, judge whether described characteristic point information conforms to the fingerprint characteristic dot information that prestores, if conformed to, confirm that this user is by finger print identifying, otherwise confirm that this user does not pass through finger print identifying; And memory module, for memory function is provided.
According to fingerprint register method of the present disclosure, fast verification method and terminal device can realize fast, finger print identifying flexibly.
Brief description of the drawings
By describe its example embodiment in detail with reference to accompanying drawing, above-mentioned and further feature of the present disclosure and advantage will become more obvious.
Figure 1A schematically shows all kinds of fingerprint line type;
Figure 1B schematically shows all kinds of fingerprint feature point;
Fig. 2 illustrates the method for carrying out fingerprint register according to the disclosure one example embodiment;
Fig. 3 illustrates according to the authentication method of disclosure example embodiment; And
Fig. 4 illustrates according to the functional module of the terminal device of disclosure example embodiment.
Embodiment
Referring now to accompanying drawing, example embodiment is more fully described.But example embodiment can be implemented in a variety of forms, and should not be understood to be limited to embodiment set forth herein; On the contrary, provide these embodiments to make the disclosure by comprehensive and complete, and the design of example embodiment is conveyed to those skilled in the art all sidedly.Identical in the drawings Reference numeral represents same or similar part, thereby will omit their detailed description.
In addition, described feature, structure or characteristic can be combined in one or more embodiment in any suitable manner.In the following description, thus provide many details to provide fully understanding embodiment of the present disclosure.But, one of skill in the art will appreciate that and can put into practice technical scheme of the present disclosure and there is no one or more in described specific detail, or can adopt other method, constituent element, material etc.In other cases, be not shown specifically or describe known features, material or operation to avoid fuzzy each side of the present disclosure.
Block scheme shown in accompanying drawing is only functional entity, not necessarily must be with physically independently entity is corresponding.That is, can adopt software form to realize these functional entitys, or realize these functional entitys in one or more integrated circuit, or realize these functional entitys in heterogeneous networks and/or processor device and/or microcontroller device.
The disclosure provides a kind of fingerprint register method, fast verification method and terminal device, can realize fast, safety management flexibly.
The common method of fingerprint recognition is the identification of line number, the identification of line type and unique point identification, utilizes respectively the line of fingerprint to count information, line type information and characteristic point information.Line is counted the macroscopic information that information and line type information belong to fingerprint, and characteristic point information belongs to the microscopic information of fingerprint.
Line number refers to the quantity of fingerprint lines in pattern district.
According to the trend of fingerprint ridge line and distribution situation, fingerprint line type is generally divided into eight kinds:
1, arch pattern Arch (A);
2, tented arch Tented Arch (T);
3, ulna Ulnar Loop (U);
4, radia Radial Loop (R);
5, whorl Whorl (W);
6, scrotiform line Central Pocket Loop (C);
7, two loop Double Loop (D); And
8, assorted shape line Accidental Loop (X).
Unique point is the fingerprint node with certain feature.The eigenwert of unique point includes but not limited to unique point example, characteristic point position coordinate (x, y), unique point shape and unique point distance etc.Characteristic point position coordinate can be absolute coordinates or relative coordinate.Referring to Figure 1B, fingerprint feature point is generally divided into following several types:
A, destination node (Ending): a lines terminates at this;
B, bifurcation (Bifurcation): lines separately becomes two or more lines at this;
C, branch point (Ridge Divergence): two parallel lines separate at this;
D, isolated point (Dot Island): a short especially lines, to such an extent as to become a bit;
E, circling point (Enclosure): it is after two that a lines is separated into, merge and become one again immediately; The little ring forming is like this called circling point; And
F, short grain (Short Ridge): one shorter but be unlikely to become any lines.
Because Fingers face varies in size, the unique point number of each finger can be variant.Generally speaking, the nearly 60-125 of an each finger unique point, wherein maximum with thumbprint feature dotted line, the most common with bifurcation and destination node in these unique points.
Countries in the world just assert that at least needing how many unique points to be consistent completely the view of the fingerprint that belongs to same people is also inconsistent at present, but majority state is to count minimum meeting as generally acknowledging taking 12 unique points.Also the country having adopts less for example 8 to 11 points of counting, or adopts more count for example 16 or more.
The general available following index of fingerprint identification technology characterizes.
Refuse sincere (FRR:False Rejection Rate), refer to think identical fingerprint by mistake to be different fingerprints, and the error probability of being refused.It is defined as: FRR=refuses fingerprint total number × 100% of fingerprint number/investigation of knowing.
Accuracy of system identification (FAR:False Accept Rate), refers to think different fingerprints by mistake to be identical fingerprint, and the error probability being received.It is defined as: fingerprint total number × 100% of the fingerprint number/investigation of FAR=misjudgement.
Speed: be important parameter of fingerprint recognition system, mainly by index constitutes such as image acquisition time, image processing time, comparison time and average recognition speeds.Acquisition time has comprised the running time of collection and the transmission time of image conventionally.In the image processing time, refer to from computing fingerprint image to extracting all unique points, output characteristic dot information or spent time of feature templates.The fingerprint image obtaining is generally the gray level image that contains more noise.Therefore, also need this fingerprint image to carry out pre-service to improve the quality of fingerprint image, strengthen the contrast of ridge peak and ridge paddy, it is become to width point and line chart clearly, so that carry out feature extraction.The pre-service of fingerprint image includes that normalization, image are cut apart, enhancing, binaryzation and refinement.Can choose corresponding pre-treatment step according to different application scenarioss, not repeat them here.Comparison time, refers to and calculates two groups of fingerprint characteristic dot informations or feature templates, compares, and provides result, the spent time.Average recognition speed, refers to search out the speed of particular fingerprint from fingerprint feature point information bank or feature template library.A normally assembly average, the speed of its speed, has much relations with fingerprint feature point information bank or feature template library.
Owing to processing when fingerprint, only relate to some limited informations of fingerprint, and alignment algorithm might not reach exact matching, its result can not ensure that 100% is accurate.In the application-specific of fingerprint recognition system, important criterion is discrimination, refusing of namely speaking of above sincere (FRR) and accuracy of system identification (FAR), and FRR and FAR are inversely proportional to.
In conventional fingerprint verification method, general registration feature dot information, and only compare characteristic point information when certification.But compared with comparing with line type or line number, the comparison speed of characteristic point information is relatively slow.
Fig. 2 is according to the process flow diagram of disclosure embodiment, and the method according to registered fingerprint of the present disclosure is shown.
The method of carrying out fingerprint register according to example embodiment is described below with reference to Fig. 2.
Step S10, collection user's fingerprint.The method that gathers user fingerprints can be the proper method of any collection fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Step S12, extracts macroscopic information and the characteristic point information of described fingerprint.Macroscopic information can be for example that line type information, line are counted information or line type information and line and counted both information.The method of the information that takes the fingerprint can be the proper method of any information that takes the fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Step S14, stores described macroscopic information and described characteristic point information, for this user's fingerprint register.Different from existing fingerprint register method, count information and characteristic point information according to the line type/line of fingerprint register method while registered fingerprint of the present disclosure, for quick finger print identifying.
Referring to Fig. 3, be described below according to the authentication method of disclosure example embodiment.
Step S20, collection user's fingerprint.As previously mentioned, the method that gathers user fingerprints can be the proper method of any collection fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Step S22, extracts the macroscopic information of described fingerprint.Macroscopic information can be for example that line type information, line are counted information or line type information and line and counted both information.As previously mentioned, the method for the information that takes the fingerprint can be the proper method of any information that takes the fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Step S24, compares described macroscopic information and the fingerprint macroscopic information that prestores, and judges whether described macroscopic information conforms to the fingerprint macroscopic information that prestores, if described macroscopic information does not conform to the fingerprint macroscopic information that prestores, confirms that this user does not pass through finger print identifying; If described macroscopic information conforms to the fingerprint macroscopic information that prestores, continue execution step S26 and S28.Can adopt any suitable comparison method of the prior art to compare, for making to describe succinctly, not repeat them here.
Step S26, extracts the characteristic point information of described fingerprint.As previously mentioned, the method for the information that takes the fingerprint can be the proper method of any information that takes the fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Step S28, described characteristic point information and the fingerprint characteristic dot information that prestores are compared, judge whether described characteristic point information conforms to the fingerprint characteristic dot information that prestores, if conformed to, confirm that this user is by finger print identifying, otherwise confirm that this user does not pass through finger print identifying.Can adopt any suitable comparison method of the prior art to compare, for making to describe succinctly, not repeat them here.
According to authentication method of the present disclosure, by first macroscopic information being authenticated as line type information, debug fingerprint fast, improves system response speed.
Referring to Fig. 4, describe according to the functional module of the terminal device of disclosure example embodiment now.
As shown in Figure 4, terminal device 300 can be mobile phone, PDA, panel computer, e-book etc.Terminal device 300 can comprise various functional modules, for example finger print acquisition module 310, macroscopic information extraction module 320, characteristic point information extraction module 330, macroscopic information comparing module 340, characteristic point information comparing module 350, certification control module 360 and memory module 370.
Finger print acquisition module 310 is for gathering user's fingerprint.As previously mentioned, the collection of user fingerprints can adopt the proper method of any collection fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Macroscopic information extraction module 320 is for the macroscopic information of the fingerprint extraction fingerprint from gathering.Macroscopic information can be for example that line type information, line are counted information or line type information and line and counted both information.As previously mentioned, the method for the information that takes the fingerprint can be the proper method of any information that takes the fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Characteristic point information extraction module 330 is for the fingerprint extraction characteristic point information from gathering.As previously mentioned, the method for the information that takes the fingerprint can be the proper method of any information that takes the fingerprint of the prior art, for making to describe succinctly, does not repeat them here.
Fingerprint macroscopic information comparing module 340 is for comparing described macroscopic information and the fingerprint macroscopic information that prestores.As previously mentioned, can adopt any suitable comparison method of the prior art to compare, for making to describe succinctly, not repeat them here.
Fingerprint feature point information comparison module 350 is for comparing described characteristic point information and the fingerprint characteristic dot information that prestores.As previously mentioned, can adopt any suitable comparison method of the prior art to compare, for making to describe succinctly, not repeat them here.
Certification control module 360 is configured in the time carrying out finger print identifying: the fingerprint of controlling finger print acquisition module collection user; Control the macroscopic information of macroscopic information extraction module from the fingerprint extraction fingerprint of collection; Controlling fingerprint macroscopic information comparing module compares described macroscopic information and the fingerprint macroscopic information that prestores, judge whether described macroscopic information conforms to the fingerprint macroscopic information that prestores, if described macroscopic information does not conform to the fingerprint macroscopic information that prestores, confirm that this user does not pass through finger print identifying; If described macroscopic information conforms to the fingerprint macroscopic information that prestores: the fingerprint extraction characteristic point information of controlling feature point extraction module from gathering; Controlling fingerprint feature point information comparison module compares described characteristic point information and the fingerprint characteristic dot information that prestores, judge whether described characteristic point information conforms to the fingerprint characteristic dot information that prestores, if conformed to, confirm that this user is by finger print identifying, otherwise confirm that this user does not pass through finger print identifying.
Memory module 370 is used to each module that memory function is provided.
Through the above description of the embodiments, those skilled in the art's easy to understand, disclosure embodiment can realize by hardware, also can realize in conjunction with the mode of necessary hardware by software.Therefore, the technical scheme of disclosure embodiment can embody with the form of software product, it (can be CD-ROM that this software product can be stored in a non-volatile memory medium, USB flash disk, portable hard drive etc.) in, comprise that some instructions are in order to carry out according to the method for the disclosure embodiment computing equipment (can be personal computer, server, mobile terminal or the network equipment etc.).
It will be understood by those skilled in the art that accompanying drawing is the schematic diagram of example embodiment, the module in accompanying drawing or flow process might not be that the enforcement disclosure is necessary, therefore can not be used for limiting protection domain of the present disclosure.
It will be appreciated by those skilled in the art that above-mentioned each module can be distributed in device according to the description of embodiment, also can carry out respective change and be arranged in the one or more devices that are different from the present embodiment.The module of above-described embodiment can be merged into a module, also can further split into multiple submodules.
Below illustrate particularly and described illustrative embodiments of the present disclosure.Should be appreciated that, the disclosure is not limited to disclosed embodiment, and on the contrary, disclosure intention contains various amendments and the equivalent arrangements in the spirit and scope that are included in claims.
Claims (12)
1. a fingerprint register method, comprising:
Gather user's fingerprint;
Extract macroscopic information and the characteristic point information of described fingerprint;
Store described macroscopic information and described characteristic point information, for this user's fingerprint register.
2. fingerprint register method as claimed in claim 1, wherein said macroscopic information is line type information.
3. fingerprint register method as claimed in claim 1, wherein said macroscopic information is that line is counted information.
4. fingerprint register method as claimed in claim 1, wherein said macroscopic information comprises that line type information and line count information.
5. a quick fingerprint verification method, comprising:
Gather user's fingerprint;
Extract the macroscopic information of described fingerprint;
Described macroscopic information and the fingerprint macroscopic information that prestores are compared, judged whether described macroscopic information conforms to the fingerprint macroscopic information that prestores;
If described macroscopic information does not conform to the fingerprint macroscopic information that prestores, confirm that this user does not pass through finger print identifying;
If described macroscopic information conforms to the fingerprint macroscopic information that prestores, continue to carry out following operation:
Extract the characteristic point information of described fingerprint;
Described characteristic point information and the fingerprint characteristic dot information that prestores are compared, judged whether described characteristic point information conforms to the fingerprint characteristic dot information that prestores, if conformed to, confirm that this user is by finger print identifying, otherwise confirm that this user does not pass through finger print identifying.
6. quick fingerprint verification method as claimed in claim 5, wherein said macroscopic information is line type information.
7. quick fingerprint verification method as claimed in claim 5, wherein said macroscopic information is that line is counted information.
8. quick fingerprint verification method as claimed in claim 5, wherein said macroscopic information comprises that line type information and line count information.
9. a terminal device, comprising:
Finger print acquisition module, for gathering user's fingerprint;
Macroscopic information extraction module, for the macroscopic information of the fingerprint extraction fingerprint from gathering;
Characteristic point information extraction module, for the fingerprint extraction characteristic point information from gathering;
Fingerprint macroscopic information comparing module, for comparing described macroscopic information and the fingerprint macroscopic information that prestores;
Fingerprint feature point information comparison module, for comparing described characteristic point information and the fingerprint characteristic dot information that prestores;
Certification control module, is configured in the time carrying out finger print identifying:
Control the fingerprint that finger print acquisition module gathers user;
Control the macroscopic information of macroscopic information extraction module from the fingerprint extraction fingerprint of collection;
Controlling fingerprint macroscopic information comparing module compares described macroscopic information and the fingerprint macroscopic information that prestores, judge whether described macroscopic information conforms to the fingerprint macroscopic information that prestores, if described macroscopic information does not conform to the fingerprint macroscopic information that prestores, confirm that this user does not pass through finger print identifying; If described macroscopic information conforms to the fingerprint macroscopic information that prestores:
The fingerprint extraction characteristic point information of controlling feature point extraction module from gathering;
Controlling fingerprint feature point information comparison module compares described characteristic point information and the fingerprint characteristic dot information that prestores, judge whether described characteristic point information conforms to the fingerprint characteristic dot information that prestores, if conformed to, confirm that this user is by finger print identifying, otherwise confirm that this user does not pass through finger print identifying; And
Memory module, for providing memory function.
10. terminal device as claimed in claim 9, wherein said macroscopic information is line type information.
11. terminal devices as claimed in claim 9, wherein said macroscopic information is that line is counted information.
12. terminal devices as claimed in claim 9, wherein said macroscopic information comprises that line type information and line count information.
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Application publication date: 20140910 |