CN106055946A - System and method for identity recognition - Google Patents

System and method for identity recognition Download PDF

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Publication number
CN106055946A
CN106055946A CN201610331702.7A CN201610331702A CN106055946A CN 106055946 A CN106055946 A CN 106055946A CN 201610331702 A CN201610331702 A CN 201610331702A CN 106055946 A CN106055946 A CN 106055946A
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China
Prior art keywords
identified
biometric sample
information
matching degree
recognition result
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Chinese (zh)
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葛辉
胡坚
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CINSOFT Ltd
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CINSOFT Ltd
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Priority to CN201610331702.7A priority Critical patent/CN106055946A/en
Publication of CN106055946A publication Critical patent/CN106055946A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/94Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70Multimodal biometrics, e.g. combining information from different biometric modalities

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The embodiment of the invention provides a system and method for identity recognition and relates to the technical field of biologic characteristic recognition. The method comprises the steps that a local terminal takes collected human body biologic characteristics as to-be-recognized information and sends the information to a server, and the server conducts matching recognition of the to-be-recognized information; matching is conducted by steps when the server matches the to-be-recognized information with biologic characteristic samples in a database, a low first preset matching degree is firstly adopted as a matching threshold for initial screening of the database, and the biologic characteristic samples with high matching degrees are screened through a low computation quantity; and then, more accurate matching is conducted to the screened biologic characteristic samples with a high second matching degree as a matching threshold, so that a recognition result is obtained. In this way, one-to-one accurate matching between the to-be-recognized information and the biologic characteristic samples in the database can be avoided; the computation quantity for the recognition is reduced; the recognition is accelerated; and efficiency and accuracy of the recognition are increased.

Description

A kind of identification system and method
Technical field
The present invention relates to biometrics identification technology field, in particular to a kind of identification system and method
Background technology
Along with the development of science and technology, biometrics identification technology application in identification system is the most quite varied.Mesh Before, conventional personal identification method is, gathers the biometric sample of the personnel that have verified that, and input database in advance.Then will Biometric sample in the information and date storehouse to be identified captured during identification carries out accurate coupling successively, if mated into Merit, then by checking.But when using such method, if the biometric sample quantity preserved in data base is the hugest Greatly, when information to be identified is mated, require a great deal of time, cause the time length of identification, efficiency low, the most side Just.
Summary of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of identification system and method.
A kind of identification system that the embodiment of the present invention provides, is applied to server, described server and local terminal Being connected by network, described local terminal is provided with the physical characteristics collecting device for gathering human body biological characteristics, described body Part identification system includes:
Information receiving module to be identified, for receiving the information to be identified that described local terminal sends, described letter to be identified Breath includes the human body biological characteristics collected by described physical characteristics collecting device;
Information matches module to be identified, for by described information to be identified with pre-save the biological characteristic in data base Sample carries out the first matching operation, filters out in described data base and is more than the first preset matching with described information matches degree to be identified First biometric sample of degree;
Described information matches module to be identified is additionally operable to described information to be identified and the first biological characteristic sample filtered out Originally carry out the second matching operation, filter out biological more than the second of the second preset matching degree with described information matches degree to be identified special Levying sample, wherein said second preset matching degree is more than the first preset matching degree;
Recognition result obtains module, for when filtering out the second biometric sample, is identified the identification knot passed through Really, and when not filtering out the second biometric sample, the recognition result of failure it is identified;
Recognition result sending module, exports for it for described recognition result is sent to described local terminal.
Preferably, described information matches module to be identified is additionally operable to judge the quantity of the second biometric sample filtered out Whether more than 1;
Described identification system also includes threshold adjustment module, for when the number of the second biometric sample filtered out When amount is more than 1, increase the value of described second preset matching degree;
Described information matches module to be identified is additionally operable to, after increasing the value of described second preset matching degree, re-execute Described second matching operation, filters out with described information matches degree to be identified more than the second biological characteristic of the second preset matching degree Sample.
Preferably, described physical characteristics collecting device includes palm vein image harvester, described biometric sample Including palm vein image information.
Preferably, the span value of described first preset matching degree is 60%-80%, described second preset matching degree Span value is 90%-95%..
Preferably, described physical characteristics collecting device also includes in fingerprint picture collector and human face image collecting device At least one, described biometric sample also includes at least one in information in fingerprint and human face image information.
A kind of personal identification method that the embodiment of the present invention provides, is applied to be provided with the server of identification system, Described server is connected by network with local terminal, and described local terminal is provided with the biology for gathering human body biological characteristics Collection apparatus device, described personal identification method includes:
Information receiving step to be identified, receives the information to be identified that described local terminal sends, described information bag to be identified Include the human body biological characteristics collected by described physical characteristics collecting device;
Information matches step to be identified, by described information to be identified with pre-save the biometric sample in data base Carry out the first matching operation, filter out in described data base and be more than the first preset matching degree with described information matches degree to be identified First biometric sample;Described information to be identified is carried out the second matching operation with the first biometric sample filtered out, Filter out with described information matches degree to be identified more than the second biometric sample of the second preset matching degree, wherein said second Preset matching degree is more than the first preset matching degree;
Recognition result obtains step, when filtering out the second biometric sample, is identified the recognition result passed through, with And when not filtering out the second biometric sample, it is identified the recognition result of failure;
Recognition result forwarding step, exports for it for described recognition result is sent to described local terminal.
Preferably, described method also included before described recognition result output step:
Judge that whether the quantity of the second biometric sample filtered out is more than 1;
When the quantity of the second biometric sample filtered out is more than 1, increase the value of described second preset matching degree;Weight Described second matching operation of new execution, filters out default more than second after described increase with described information matches degree to be identified Second biometric sample of degree of joining;
Wherein, when the quantity of the second biometric sample filtered out is equal to 1, the output step output of described recognition result The recognition result being identified by.
Preferably, described physical characteristics collecting device includes palm vein image harvester, described biometric sample Including palm vein image information.
Preferably, the span value of described first preset matching degree is 60%-80%, described second preset matching degree Span value is 90%-95%.
Preferably, described physical characteristics collecting device also includes in fingerprint picture collector and human face image collecting device At least one, described biometric sample also includes at least one in information in fingerprint and human face image information.
Compared with prior art, the present invention provide identification system and method, the human body that local terminal will collect Biological characteristic is sent to server as information to be identified, server information to be identified is carried out match cognization.Know will wait When biometric sample in other information and date storehouse is mated, substep mates, and presets initially with relatively low first Matching degree carries out Preliminary screening as matching threshold to data base, filters out, by relatively low amount of calculation, the biology that matching degree is higher Feature samples.The most again to the biometric sample filtered out, the second higher matching degree is used to carry out more as matching threshold Accurate coupling, is identified result.So, the biometric sample in information and date storehouse the most to be identified can be avoided one by one Accurately mate, decrease amount of calculation during identification, accelerate recognition speed, improve recognition efficiency and accuracy.
For making the above-mentioned purpose of the present invention, feature and advantage to become apparent, preferred embodiment cited below particularly, and coordinate Appended accompanying drawing, is described in detail below.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below by embodiment required use attached Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, and it is right to be therefore not construed as The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to according to this A little accompanying drawings obtain other relevant accompanying drawings.
The schematic diagram that the server that Fig. 1 provides for present pre-ferred embodiments and local terminal interact.
The block diagram of the server being provided with identification system that Fig. 2 provides for present pre-ferred embodiments.
Fig. 3 is the high-level schematic functional block diagram of the identification system that the server shown in Fig. 1 includes.
The flow chart of the personal identification method that Fig. 4 provides for present pre-ferred embodiments.
Main element symbol description
Server 100
Local terminal 200
Identification system 10
Bin 20
Processor 30
Information receiving module to be identified 101
Information matches module to be identified 102
Recognition result obtains module 103
Recognition result sending module 104
Threshold adjustment module 105
Physical characteristics collecting device 201
Detailed description of the invention
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Ground describes, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments.Generally exist Can arrange and design with various different configurations with the assembly of the embodiment of the present invention that illustrates described in accompanying drawing herein.Cause This, be not intended to limit claimed invention to the detailed description of the embodiments of the invention provided in the accompanying drawings below Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing The every other embodiment obtained on the premise of going out creative work, broadly falls into the scope of protection of the invention.
It should also be noted that similar label and letter represent similar terms, therefore, the most a certain Xiang Yi in following accompanying drawing Individual accompanying drawing is defined, then need not it be defined further and explains in accompanying drawing subsequently.Meanwhile, the present invention's In description, term " first ", " second " etc. are only used for distinguishing and describe, and it is not intended that indicate or hint relative importance.
As it is shown in figure 1, the signal that the server 100 that present pre-ferred embodiments provides interacts with local terminal 200 Figure.Described server 100 is communicatively coupled with one or more local terminals 200 by network, with carry out data communication or Alternately.Described server 100 can be the webserver 100, database server 100 etc..Described local terminal 200 can be There are the computer installation of biological characteristic identification function, embedded device, attendance recorder, social security office terminal unit etc..Described this locality Terminal 200 includes that biometric devices 201 is for realizing the biological characteristic identification function of local terminal 200.Wherein, biological Collection apparatus device 201 is the equipment for gathering human body biological characteristics, the classification of the biological characteristic identified as required, biological Collection apparatus device 201 may be, but not limited to, palm vein image harvester, fingerprint picture collector, facial image Harvester etc..
As in figure 2 it is shown, be the block diagram of the server 100 that present pre-ferred embodiments provides.Described server 100 Including identification system 10, memorizer 20 and processor 30.
Memorizer 20 and processor 30 are electrically connected with the most directly or indirectly, to realize transmission or the friendship of data Mutually.Such as, these elements can realize being electrically connected with by one or more communication bus or holding wire each other.Described identity Identification system 10 includes that at least one can be stored in described memorizer 20 with the form of software or firmware (firmware) or solid Change the software function module in the operating system (operating system, OS) of described server 100.Described processor is used In performing the executable module of storage in memorizer 20, software function module that the most described identification system 10 includes or meter Calculation machine program.
Memorizer 20 may be, but not limited to, random access memory (Random Access Memory, RAM), read-only Memorizer (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electric erasable Read only memory (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..Wherein, deposit Reservoir 20 is used for storing program, and described processor 30, after receiving execution instruction, performs described program, and the aforementioned present invention implements The method performed by the biological identification device flowing through Cheng Dingyi that example any embodiment discloses can apply in processor 30, or Person is realized by processor 30.
Processor 30 is probably a kind of IC chip, has the disposal ability of signal.Above-mentioned processor 30 is permissible It is general processor, including central processing unit (Central Processing Unit is called for short CPU), network processing unit (Network Processor is called for short NP) etc.;Can also is that digital signal processor (DSP), special IC (ASIC), Ready-made programmable gate array (FPGA) or other PLDs, discrete gate or transistor logic, discrete firmly Part assembly.Can realize or perform disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor Can be microprocessor or this processor can also be the processor etc. of any routine.
Refer to Fig. 3, be that the functional module of the identification system 10 shown in Fig. 2 that present pre-ferred embodiments provides is shown It is intended to.Described identification system 10 includes information receiving module 101 to be identified, information matches module 102 to be identified, identifies knot Fruit obtains module 103, recognition result sending module 104 and threshold adjustment module 105.
Information receiving module to be identified 101 for receiving the information to be identified that described local terminal 200 sends, described in wait to know Other information includes the human body biological characteristics collected by described physical characteristics collecting device 201.
Local terminal 200 is arranged at the place needing to carry out authentication, when carrying out identification, arranges biological characteristic and adopts Acquisition means 201 gathers human body biological characteristics at personnel to be identified.In the present embodiment, described human body biological characteristics can be hands Vena metacarpea image (or human body palmmprint) feature.Correspondingly, described physical characteristics collecting device 201 can be that palm vein image is adopted Acquisition means, when carrying out identification, palm vein image harvester gathers palm vein image at personnel to be identified.Compare In other living things feature recognition, palm vein identification is contactless in the mode of collection data, by noctovisor scan is Palm vein image can be obtained.Forging difficulty, accuracy of identification is the highest simultaneously.
In other embodiments, described human body biological characteristics may also mean that stricture of vagina feature.Correspondingly, described biological characteristic is adopted Acquisition means 201 may also include fingerprint acquisition device, and when carrying out identification, it can gather palm vein figure at personnel to be identified Picture.Or, described human body biological characteristics can also be facial image feature.Correspondingly, described physical characteristics collecting device 201 is also Can include human face image collecting device, when carrying out identification, it can gather facial image at personnel to be identified.
The physical characteristics collecting device 201 being arranged at local terminal 200 completes the human body biological characteristics to personnel to be identified After collection, the human body biological characteristics collected is sent to server as information to be identified by network by local terminal 200 100, the information receiving module to be identified 101 of server 100 receives this information to be identified.
Information matches module 102 to be identified is for by special with the biology pre-saved in data base for described information to be identified Levy sample and carry out the first matching operation, filter out in described data base and be more than first default with described information matches degree to be identified First biometric sample of degree of joining;
It is additionally operable to the first biometric sample filtered out, described information to be identified is carried out the second matching operation, screening Going out with described information matches degree to be identified more than the second biometric sample of the second preset matching degree, wherein said second presets Matching degree is more than the first preset matching degree.
In the present embodiment, server 100 is provided with the data base for storing data.Described data base can be to build in advance Standing in described identification system, its storage has substantial amounts of human body biological characteristics sample.The human-body biological preserved in this data base Feature samples can gather in advance from specific colony and obtain.Such as, in the present embodiment, described identification system can be used In social security system, society, each society personnel are when setting up the social security archives of oneself, can be with typing at least one self Human body biological characteristics preserve in the database, for use as identification.The system of closing, data base are compared for some In biometric sample can be subordinated at the personnel of this system carry out successively collection in worksite typing.The operation of collection in worksite Can be carried out by local terminal 200, be arranged at the physical characteristics collecting device 201 of local terminal 200 people to personnel to be logged Body biological characteristic is acquired, and uploads onto the server 100 by network, server 100 human body biological characteristics will uploaded It is saved into data base.
After obtaining information to be identified, it is mated by server 100 with the biometric sample in data base.Data base It is arranged at server 100, preserves the biometric sample of typing in advance, the corresponding personnel of each biometric sample Identity information.The body of personnel to be identified is determined by carrying out the biometric sample in information and date storehouse to be identified mating Part.
First pass through the first less preset matching degree of value and the biometric sample in data base is carried out primary dcreening operation, will be big The relatively low biometric sample of part matching degree filters.Specifically, the value of the first preset matching degree is generally little, such as 60%- 80%, for such matching degree, it is not required to calculate the most accurately, relative to by information and date storehouse to be identified Individual biometric sample is the most accurately mated, and only filters out the matching degree biological characteristic sample more than the first preset matching degree This, amount of calculation is much smaller.In use, the value of the first preset matching degree is not limited to 60%-80%, according to reality Demand, such as the quantity of sample in data base, can be adjusted flexibly.Under normal circumstances, the first preset matching degree is arranged It is 60%, just can obtain good screening effect.
Other embodiments implemented as the present invention, if after carrying out the first matching operation, first filtered out is raw In the case of the quantity of thing feature samples has been 1, it is also possible to no longer carry out the second matching operation, directly obtain and be identified by Recognition result, it is also possible to this first biometric sample is together obtained as recognition result, when greatly reducing coupling Amount of calculation.
After having filtered the biometric sample that most of matching degree is relatively low, for filtering out biometric sample, just The coupling of higher precision can be carried out with the second preset matching degree as condition.In practice, for same people, no With time the biometric sample that collects may there is fine distinction.Therefore, in the matching process, object is generally mated Matching degree arrive certain value, such as 95%, it is possible to identification is mutually matched.Therefore, the value of the second preset matching degree is led to Often very close to this numerical value, as taken 90%-95%, to ensure that filter out is exactly after secondary screening as far as possible Biometric sample with information matches to be identified.
Information matches module 102 to be identified is additionally operable to judge whether the quantity of the second biometric sample filtered out is more than 1, and after increasing the value of described second preset matching degree, re-execute described second matching operation, filter out and treat with described Identify the information matches degree the second biometric sample more than the second preset matching degree.
When carrying out identification, have only to confirm in data base whether with information to be identified at the biological characteristic sample mated This, in the case of accurately obtaining the identity information that information to be identified is corresponding, by arranging the second preset matching degree After suitable numerical value, through the second matching operation, as long as filtering out the second biometric sample, it is taken as being identified by. For some it needs to be determined that the identification system of identity information corresponding to information to be identified, when carrying out the second matching operation, to The value of two preset matching degree is accomplished by carrying out corresponding adjustment.In this embodiment, if through with the second preset matching degree for After the screening of degree of joining screening conditions, the second biometric sample quantity filtered out is more than 1, and just explanation still cannot confirm to wait to know The identity information that other information is corresponding, needs to mate more accurately.
Recognition result obtains module 103, for when filtering out the second biometric sample, is identified the identification passed through As a result, and when not filtering out the second biometric sample, the recognition result of failure it is identified.
After with the second preset matching degree for the screening of matching degree screening conditions, if filtering out biometric sample, Then it is believed that data base exists the biometric sample with information matches to be identified.Concrete, second filtered out is biological When feature samples quantity is equal to 1, the identity information one of personnel can be acted as while being identified the recognition result passed through For recognition result.Without filtering out biometric sample, then it is believed that data base does not exist and information to be identified The biometric sample joined.
Recognition result sending module 105, defeated for it for described recognition result being sent to described local terminal 200 Go out.
After being identified result, recognition result is sent to local terminal 200 by network by server 100 again, local whole Recognition result is exported by end 200 so that the people carrying out identification can be known.Local terminal 200 can be with voice message, literary composition The mode that word shows or image shows exports result.Meanwhile, local terminal 200 can also carry out identification place with needs Other equipment connect, as import and export gate inhibition switch.Control door according to recognition result to open or close.
Threshold adjustment module 106 for when the quantity of the second biometric sample filtered out is more than 1, increases described the The value of two preset matching degree.
The value of the second preset matching degree is increased, carries out the higher screening of degree of accuracy, along with the raising of matching precision, if Data base exists and the biometric sample of information matches to be identified, then will necessarily obtain a selection result, it is simply that with treat Identify the biometric sample of information matches.Obtain with the biometric sample of information matches to be identified after, then by recognition result Obtain module 103 while being identified the recognition result passed through, this biometric sample is also served as recognition result and obtains.
As an embodiment of the present embodiment, described physical characteristics collecting device 201 includes that palm vein image is adopted Acquisition means, described biometric sample includes palm vein image information.Use palm vein image information right as identify As.
Information matches module 102 to be identified is when performing the first matching operation or the second matching operation, by information to be identified The mode carrying out mating with the palm vein image information in described data base is:
Extract the eigenvalue of the palm vein image to be identified that described palm vein image harvester collects;
The palm vein image information being saved in data base is characterized value information, by the spy of palm vein image to be identified Value indicative is mated with described characteristic value information, the palm vein obtaining palm vein image to be identified with being saved in data base The matching degree of image information.
When carrying out the first matching operation, owing to the value of the first preset matching degree is relatively low, contrast palm vein to be identified During palm vein image information in image and data base, the algorithm that relative amount of calculation is less can be used, although calculate accurately Degree can decrease, owing to the first matching operation is Preliminary screening, it is therefore intended that filters the palm vein that major part matching degree is low Image information, does not have too many impact to the result of screening, improves speed during coupling simultaneously.
As another embodiment of the present embodiment, described physical characteristics collecting device 201 also includes that fingerprint image is adopted Acquisition means and human face image collecting device, described biometric sample also includes information in fingerprint and human face image information.
When information to be identified is carried out by information matches module 102 to be identified with the biometric sample in described data base. The biological characteristic gathered by multiple different biological features harvesters 201 is as information to be identified, respectively with the life in data base Thing feature samples mates, and obtains comprehensive matching degree.The most again by the first preset matching degree and the second preset matching degree Screen, finally obtain and the biometric sample of information matches to be identified.Adopt in such a way, it is considered to multiple biological special Mate while levying, it is possible to obtain matching result more accurately.
Refer to Fig. 4, be the identity being applied to the identification system 10 shown in Fig. 3 of present pre-ferred embodiments offer The flow chart of recognition methods.Idiographic flow shown in Fig. 3 will be described in detail below.
Step S101, receives the information to be identified that described local terminal 200 sends, and described information to be identified includes by described The human body biological characteristics that physical characteristics collecting device 201 collects.This step S101 can treating by described identification system 10 Identify that information receiving module 101 coordinates described physical characteristics collecting device 201 to perform.Description about this step S101 specifically may be used Ginseng is to the above-mentioned description to information receiving module 101 to be identified.
Step S102, carries out first by described information to be identified with the biometric sample pre-saved in data base Join operation, filter out in described data base biological more than the first of the first preset matching degree with described information matches degree to be identified special Levy sample.
Step S103, carries out the second matching operation by described information to be identified with the first biometric sample filtered out, Filter out with described information matches degree to be identified more than the second biometric sample of the second preset matching degree, wherein said second Preset matching degree is more than the first preset matching degree.
Step S104, it may be judged whether filter out the second biometric sample, if it is, perform step S105, if it does not, hold Row step S106.
Step S105, it is judged that whether the quantity of the second biometric sample filtered out is more than 1.If it is, execution step S108 and step S103, if it does not, perform step S107.
Specifically, step S102, step S103, step S104 and step S105 can be by described information matches moulds to be identified Block 102 performs, and the method that concrete carrying out mates can join the above-mentioned detailed description to information matches module 102 to be identified.
Step S106, is identified the recognition result of failure.
Step S107, is identified the recognition result passed through.
Specifically, step S106 and step S107 can be obtained module 103 by described recognition result and perform, and concrete obtains The method of recognition result can join the above-mentioned detailed description that described recognition result obtains module 103.
Step S108, is sent to described recognition result described local terminal 200 and exports for it.
Specifically, described step S108 can be performed by described recognition result sending module 104, and this step S108 sends described The method of recognition result can join the above-mentioned detailed description to recognition result sending module 104.
Step S109, increases the value of described second preset matching degree.
Specifically, described step S109 can be performed by described threshold adjustment module 105, and this step S109 increases second and presets The method of matching degree can join the above-mentioned detailed description to threshold adjustment module 105.
In sum, the human body biological characteristics collected is sent to server as information to be identified by local terminal, by Server carries out match cognization to information to be identified.Biometric sample in information and date storehouse to be identified is being mated Time, substep mates, and as matching threshold, data base is carried out Preliminary screening initially with the first relatively low preset matching degree, The biometric sample that matching degree is higher is filtered out by relatively low amount of calculation.The most again to the biometric sample filtered out, Use the second higher matching degree to mate more accurately as matching threshold, be identified result.So, can avoid just Biometric sample in information and date storehouse to be identified is the most accurately mated, and decreases amount of calculation during identification, accelerates Recognition speed, improves recognition efficiency and accuracy.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, it is also possible to pass through Other mode realizes.Device embodiment described above is only schematically, such as, and the flow chart in accompanying drawing and block diagram Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product, Function and operation.In this, each square frame in flow chart or block diagram can represent a module, program segment or the one of code Part, a part for described module, program segment or code comprises holding of one or more logic function for realizing regulation Row instruction.It should also be noted that at some as in the implementation replaced, the function marked in square frame can also be to be different from The order marked in accompanying drawing occurs.Such as, two continuous print square frames can essentially perform substantially in parallel, and they are the most also Can perform in the opposite order, this is depending on involved function.It is also noted that every in block diagram and/or flow chart The combination of the square frame in individual square frame and block diagram and/or flow chart, can be with function or the special base of action performing regulation System in hardware realizes, or can realize with the combination of specialized hardware with computer instruction.
It addition, each functional module in each embodiment of the present invention can integrate one independent portion of formation Point, it is also possible to it is modules individualism, it is also possible to two or more modules are integrated to form an independent part.
If described function is using the form realization of software function module and as independent production marketing or use, permissible It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is the most in other words The part contributing prior art or the part of this technical scheme can embody with the form of software product, this meter Calculation machine software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual People's computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention. And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM, Read-Only Memory), random access memory are deposited The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic disc or CD.Need Illustrate, in this article, the relational terms of such as first and second or the like be used merely to by an entity or operation with Another entity or operating space separate, and there is any this reality between not necessarily requiring or imply these entities or operating The relation on border or order.And, term " includes ", " comprising " or its any other variant are intended to the bag of nonexcludability Contain, so that include that the process of a series of key element, method, article or equipment not only include those key elements, but also include Other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment. In the case of there is no more restriction, statement " including ... " key element limited, it is not excluded that including described key element Process, method, article or equipment in there is also other identical element.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.All within the spirit and principles in the present invention, that is made any repaiies Change, equivalent, improvement etc., should be included within the scope of the present invention.It should also be noted that similar label and letter exist Figure below represents similar terms, therefore, the most a certain Xiang Yi accompanying drawing is defined, is then not required in accompanying drawing subsequently It is defined further and explains.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, and any Those familiar with the art, in the technical scope that the invention discloses, can readily occur in change or replace, should contain Cover within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with scope of the claims.

Claims (10)

1. an identification system, is applied to server, and described server is connected by network with local terminal, described this locality Terminal is provided with the physical characteristics collecting device for gathering human body biological characteristics, it is characterised in that described identification system Including:
Information receiving module to be identified, for receiving the information to be identified that described local terminal sends, described information bag to be identified Include the human body biological characteristics collected by described physical characteristics collecting device;
Information matches module to be identified, for by described information to be identified with pre-save the biometric sample in data base Carry out the first matching operation, filter out in described data base and be more than the first preset matching degree with described information matches degree to be identified First biometric sample;
Described information matches module to be identified is additionally operable to enter described information to be identified with the first biometric sample filtered out Row the second matching operation, filters out with described information matches degree to be identified more than the second biological characteristic sample of the second preset matching degree This, wherein said second preset matching degree is more than the first preset matching degree;
Recognition result obtains module, for when filtering out the second biometric sample, is identified the recognition result passed through, with And when not filtering out the second biometric sample, it is identified the recognition result of failure;
Recognition result sending module, exports for it for described recognition result is sent to described local terminal.
Identification system the most according to claim 1, it is characterised in that described information matches module to be identified is additionally operable to Judge that whether the quantity of the second biometric sample filtered out is more than 1;
Described identification system also includes threshold adjustment module, big for working as the quantity of the second biometric sample filtered out In 1 time, increase the value of described second preset matching degree;
Described information matches module to be identified is additionally operable to after increasing the value of described second preset matching degree, re-executes described Second matching operation, filters out with described information matches degree to be identified more than the second biological characteristic sample of the second preset matching degree This.
Identification system the most according to claim 1, it is characterised in that described physical characteristics collecting device includes palm Vein image acquisition device, described biometric sample includes palm vein image information.
Identification system the most according to claim 3, it is characterised in that the span of described first preset matching degree Value is 60%-80%, and the span value of described second preset matching degree is 90%-95%.
Identification system the most according to claim 3, it is characterised in that described physical characteristics collecting device also includes referring to At least one in print image harvester and human face image collecting device, described biometric sample also includes that fingerprint image is believed At least one in breath and human face image information.
6. a personal identification method, is applied to be provided with the server of identification system, described server and local terminal Being connected by network, described local terminal is provided with the physical characteristics collecting device for gathering human body biological characteristics, its feature Being, described personal identification method includes:
Information receiving step to be identified, receive described local terminal send information to be identified, described information to be identified include by The human body biological characteristics that described physical characteristics collecting device collects;
Information matches step to be identified, is carried out described information to be identified with the biometric sample pre-saved in data base First matching operation, filters out in described data base and is more than the first of the first preset matching degree with described information matches degree to be identified Biometric sample;Described information to be identified is carried out the second matching operation with the first biometric sample filtered out, screening Going out with described information matches degree to be identified more than the second biometric sample of the second preset matching degree, wherein said second presets Matching degree is more than the first preset matching degree;
Recognition result obtains step, when filtering out the second biometric sample, is identified the recognition result passed through, Yi Ji When not filtering out the second biometric sample, it is identified the recognition result of failure;
Recognition result forwarding step, is sent to described recognition result described local terminal and exports for it.
Personal identification method the most according to claim 6, it is characterised in that described method is in described recognition result output step Also include before rapid:
Judge that whether the quantity of the second biometric sample filtered out is more than 1;
When the quantity of the second biometric sample filtered out is more than 1, increase the value of described second preset matching degree;Again hold Described second matching operation of row, filters out with described information matches degree to be identified more than the second preset matching degree after described increase The second biometric sample;
Wherein, when the quantity of the second biometric sample filtered out is equal to 1, the output step output of described recognition result identifies The recognition result passed through.
Personal identification method the most according to claim 6, it is characterised in that described physical characteristics collecting device includes palm Vein image acquisition device, described biometric sample includes palm vein image information.
Personal identification method the most according to claim 8, it is characterised in that the span of described first preset matching degree Value is 60%-80%, and the span value of described second preset matching degree is 90%-95%.
Personal identification method the most according to claim 8, it is characterised in that described physical characteristics collecting device also includes At least one in fingerprint picture collector and human face image collecting device, described biometric sample also includes fingerprint image Information and people.
CN201610331702.7A 2016-05-18 2016-05-18 System and method for identity recognition Pending CN106055946A (en)

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CN107222466A (en) * 2017-05-15 2017-09-29 上海与德科技有限公司 A kind of method, router, smart machine and system for connecting WLAN
CN107358699A (en) * 2017-07-17 2017-11-17 深圳市斑点猫信息技术有限公司 A kind of safe verification method and system
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
CN107507308A (en) * 2017-08-17 2017-12-22 美的智慧家居科技有限公司 The method, apparatus and intelligent door lock of a kind of match information
CN108875516A (en) * 2017-12-12 2018-11-23 北京旷视科技有限公司 Face identification method, device, system, storage medium and electronic equipment
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CN110765323A (en) * 2019-10-24 2020-02-07 武汉菲旺软件技术有限责任公司 Community pet dog identification method, device, equipment and medium
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Application publication date: 20161026