CN109492509A - Personal identification method, device, computer-readable medium and system - Google Patents
Personal identification method, device, computer-readable medium and system Download PDFInfo
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- 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
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
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- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
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- 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
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
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Abstract
A kind of personal identification method, device, computer-readable medium and system.The personal identification method includes: to identify the true and false of certificate and in the case where certificate is genuine situation, extracts certificate figure information and certificate finger print information；Figure information is acquired in primary scene；Identify whether the portrait acquired in primary scene is consistent with certificate portrait, exports the first recognition result；Identify, output second recognition result whether consistent in the portrait that primary scene acquires and the portrait in preset blacklist set；Finger print information is acquired in primary scene；Identify whether the fingerprint acquired in primary scene is consistent with certificate fingerprint, exports third recognition result；Only when it is that the inconsistent and described third recognition result is consistent with any portrait in blacklist set in the portrait that primary scene acquires that first recognition result, which is consistent, described second recognition result, identification passes through, and otherwise exports warning message.Using above scheme, the accuracy rate and reliability of identification can be improved.
Description
Technical field
The present embodiments relate to security fields more particularly to a kind of personal identification method, device, computer-readable mediums
And system.
Background technique
With the continuous improvement that country requires security protection, identity recognizing technology is more more and more universal.For example, railway station, aircraft
, identification system is all arranged in the public places such as rich meeting in Asia, to identify to the personnel identity for entering place, it is ensured that the people
Raw safety.
In existing product, the generally all independent deployment of identification system, although the function of identification may be implemented,
But since the identification system dimension independently disposed is lower, it is unable to reach 100% discrimination, so always having can not
The omission personnel of identification, increase security risk.For example, the testimony of a witness that meeting-place doorway is arranged in compares identification system, by work
Make to enter meeting-place after personnel carry out certificate comparison, in the more situation of personnel to be identified, staff can not carefully be checked,
It may cause and borrow others' personnel of certificate and be mixed into meeting-place, to influence the order and security in meeting-place.
Summary of the invention
The technical issues of embodiment of the present invention solves is how to realize identification, improves identification accuracy rate and reliable
Property.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of personal identification method, which comprises identification
The true and false of certificate and in the case where certificate is genuine situation, extracts certificate figure information and certificate finger print information；It is acquired in primary scene
Figure information；Identify whether the portrait acquired in primary scene is consistent with certificate portrait, exports the first recognition result；Identification is the
Whether the portrait of one collection in worksite and the portrait in preset blacklist set are consistent, export the second recognition result；It is existing first
Field acquisition finger print information；Identify whether the fingerprint acquired in primary scene is consistent with certificate fingerprint, exports third recognition result；Only
It is in the portrait and blacklist set that primary scene acquires when first recognition result is consistent, described second recognition result
Any portrait it is inconsistent and when the third recognition result is consistent, identification passes through, and otherwise exports warning message.
Optionally, figure information is acquired in primary scene using the camera being arranged in mobile device.
Optionally, the qualified figure information in primary scene acquisition is chosen.
Optionally, the figure information in primary scene acquisition for choosing qualification includes: that will acquire in primary scene
Figure information is sent to server；The server chooses acquiring in primary scene for qualification based on acquisition posture, portrait quality
Figure information.
Optionally, described to identify whether the portrait acquired in primary scene is consistent with certificate portrait, output the first identification knot
Fruit includes: the server using image characteristics extraction device, to qualified in the portrait of primary scene acquisition and the certificate of storage
Portrait carries out pixel degree comparison processing, exports first recognition result.
Optionally, whether the identification is consistent in the portrait that primary scene acquires and the portrait in blacklist set, output
Second recognition result includes: the server using image characteristics extraction device, to the qualified portrait in primary scene acquisition with
Portrait in the blacklist set of storage carries out pixel degree comparison processing, exports the second recognition result.
Optionally, finger print information is acquired in primary scene using mobile device.
Optionally, the personal identification method, further includes: figure information is acquired in the secondary scene by monitoring camera；
Identify, output fourth recognition result whether consistent in the portrait that the secondary scene acquires and the portrait in blacklist set；Identification exists
The portrait of secondary scene acquisition with it is whether consistent in the portrait that primary scene acquire and identification passes through, export the 5th and identify
As a result；When the 4th recognition result be when the portrait that the secondary scene acquires is consistent with any portrait in blacklist set, or
When the 5th recognition result be the portrait that acquire in the secondary scene in the owner that primary scene acquires and identification passes through
When picture is inconsistent, warning message is exported, the warning message includes the location information of the portrait in secondary scene acquisition.
Optionally, the qualified figure information in secondary scene acquisition is chosen.
Optionally, the figure information in secondary scene acquisition for choosing qualification includes: to adopt described in the secondary scene
The figure information of collection is sent to server；The server based on obtain posture, that portrait quality is chosen is qualified in the secondary scene
The figure information of acquisition.
Optionally, whether the identification is consistent in the portrait that the secondary scene acquires and the portrait in blacklist set, output
4th recognition result includes: blacklist set of the server to the qualified portrait acquired in the secondary scene and storage
In portrait carry out portrait intellectual analysis, export the 4th recognition result.
Optionally, the portrait that the identification acquire in the secondary scene with primary scene acquires and identification passes through
Whether portrait is consistent, and the 5th recognition result of output includes: the server to the qualified portrait in secondary scene acquisition
With it is described it is qualified primary scene acquisition and portrait that identification passes through carry out portrait intellectual analysis, the 5th identification of output
As a result.
Optionally, the portrait intellectual analysis includes: clothes, height, figure and the identification of face characteristic various dimensions.
Optionally, the handheld terminal exported in the warning message to the position range in the portrait of secondary scene acquisition is set
It is standby, it is manually checked, the hand-held terminal device real-time report location information.
The embodiment of the present invention provides a kind of identity recognition device, comprising: extraction unit, suitable for identify certificate the true and false and
Certificate is to extract certificate figure information and certificate finger print information in genuine situation；First acquisition unit, suitable for being adopted in primary scene
Collect figure information；First recognition unit exports the suitable for identifying whether the portrait that acquire in primary scene is consistent with certificate portrait
One recognition result；Second recognition unit, suitable for identifying the people in the portrait and preset blacklist set that primary scene acquires
It seem no consistent, the second recognition result of output；Second acquisition unit is suitable for acquiring finger print information in primary scene；Third identification
Unit exports third recognition result suitable for identifying whether the fingerprint acquired in primary scene is consistent with certificate fingerprint；It determines single
Member, suitable for only when first recognition result be consistent, described second recognition result be the portrait that acquires in primary scene with it is black
When any portrait in list set is inconsistent and the third recognition result is consistent, identification passes through, and otherwise exports
Warning message.
Optionally, first acquisition unit is suitable for acquiring people in primary scene using the camera being arranged in mobile device
As information.
Optionally, the identity recognition device further include: the first selection unit, suitable for choosing adopting in primary scene for qualification
The figure information of collection.
Optionally, first selection unit be suitable for based on obtain posture, that portrait quality is chosen is qualified in primary scene
The figure information of acquisition.
Optionally, first recognition unit is suitable for using image characteristics extraction device, acquires to qualified in primary scene
Portrait and the certificate portrait of storage carry out pixel degree and compare processing, output first recognition result.
Optionally, second recognition unit is suitable for using image characteristics extraction device, acquires to qualified in primary scene
Portrait and storage blacklist set in portrait carry out pixel degree and compare processing, the second recognition result of output.
Optionally, second acquisition unit is suitable for acquiring finger print information in primary scene using mobile device.
Optionally, the identity recognition device, further includes: third acquisition unit is suitable for through monitoring camera second
Collection in worksite figure information；4th recognition unit, suitable for identifying the people in the portrait and blacklist set that the secondary scene acquires
It seem no consistent, the 4th recognition result of output；5th recognition unit, suitable for identifying the portrait acquired in the secondary scene and first
Collection in worksite and portrait that identification passes through it is whether consistent, export the 5th recognition result；First output unit is suitable for when the
Four recognition results be when the portrait that the secondary scene acquire is consistent with any portrait in blacklist set, or ought the 5th identify
As a result for the portrait that acquires in the secondary scene with it is inconsistent in all portraits that primary scene acquires and identification passes through
When, warning message is exported, the warning message includes the location information of the portrait in secondary scene acquisition.
Optionally, the identity recognition device, further includes: the second selection unit, suitable for selection qualification in the secondary scene
The figure information of acquisition.
Optionally, second selection unit be suitable for based on obtain posture, that portrait quality is chosen is qualified in the secondary scene
The figure information of acquisition.
Optionally, the 4th recognition unit is suitable for the black of the qualified portrait acquired in the secondary scene and storage
Portrait in list set carries out portrait intellectual analysis, exports the 4th recognition result.
Optionally, the 5th recognition unit is suitable for the qualified portrait acquired in the secondary scene and the qualification
Primary scene acquisition and portrait that identification passes through carry out portrait intellectual analysis, export the 5th recognition result.
Optionally, the portrait intellectual analysis includes: clothes, height, figure and the identification of face characteristic various dimensions.
Optionally, the output unit is suitable for exporting the position model of the warning message to the portrait in secondary scene acquisition
Interior hand-held terminal device is enclosed, is manually checked, the hand-held terminal device real-time report location information.
The embodiment of the present invention provides a kind of computer-readable medium, is stored thereon with computer instruction, and the computer refers to
Any of the above-described kind of step corresponding to the method is executed when enabling operation.
The embodiment of the present invention provides a kind of identifying system, including memory and processor, is stored with energy on the memory
Enough computer instructions run on the processor, the processor execute any of the above-described kind when running the computer instruction
Step corresponding to the method.
Compared with prior art, the technical solution of the embodiment of the present invention has the advantages that
The embodiment of the present invention pass through first identification certificate the true and false, can prevent certificate be forged caused by certificate information and
Chip information is inconsistent, prevents certificate stolen, improves the reliability of identification.Then pass through certificate Identification of Images, black name
Single identification and fingerprint recognition three-factor authentication can realize identification from multiple dimensions, improve the accuracy rate of identification.
Further, based on posture, portrait quality is obtained, the qualified figure information in secondary scene acquisition is chosen, it can
To avoid misrecognition caused by acquisition information fuzzy or leakage identification, the accuracy rate of identification is further increased.
Further, can be lasting to monitor after personnel enter place by real time monitoring, blacklist personnel are carried out
Secondary identification, and the personnel for entering meeting-place by improper channel are identified, the accuracy rate of identification is further increased,
Ensure the order and security in place.
Detailed description of the invention
Fig. 1 is a kind of flow chart of personal identification method provided in an embodiment of the present invention；
Fig. 2 is the flow chart of another personal identification method provided in an embodiment of the present invention；
Fig. 3 is the flow chart of another personal identification method provided in an embodiment of the present invention；
Fig. 4 is the flow chart of another personal identification method provided in an embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of identity recognition device provided in an embodiment of the present invention.
Specific embodiment
In existing product, the generally all independent deployment of identification system, although the function of identification may be implemented,
But since the identification system dimension independently disposed is lower, it is unable to reach 100% discrimination, so always having can not
The omission personnel of identification, increase security risk, to influence the order and security in meeting-place.
The embodiment of the present invention pass through first identification certificate the true and false, can prevent certificate be forged caused by certificate information and
Chip information is inconsistent, prevents certificate stolen, improves the reliability of identification.Then pass through certificate Identification of Images, black name
Single identification and fingerprint recognition three-factor authentication can realize identification from multiple dimensions, improve the accuracy rate of identification.
It is understandable to enable above-mentioned purpose of the invention, feature and beneficial effect to become apparent, with reference to the accompanying drawing to this
The specific embodiment of invention is described in detail.
Referring to Fig. 1, the embodiment of the invention provides a kind of personal identification methods, may include steps of:
Step S101, identifies the true and false of certificate and in the case where certificate is genuine situation, extracts certificate figure information and certificate and refers to
Line information.
In specific implementation, can be by the reader identification certificate true and false, certificate typically now, such as identity card and shield
According to there is anti-counterfeiting mark.By identifying the true and false of certificate, certificate information caused by certificate can be prevented to be forged and chip information
It is inconsistent, it prevents certificate stolen, improves the reliability of identification.
Step S102 acquires figure information in primary scene.
In specific implementation, the primary scene is into the identity detection site before place, such as at the population in place.
In specific implementation, mobile terminal is easy to carry, easy to use due to having many advantages, such as, obtains at present extensive
Using.And the photography technology in mobile terminal also approaches maturation, can satisfy common camera shooting demand, therefore can be by mobile whole
The camera of setting is held to acquire figure information in primary scene.In specific shooting process, it can be carried out using fixed position
Shooting, for example, can enable personnel station to be identified at 1 rice noodles of admission position, to be shot.Personnel to be identified can also be enabled to stand
In flexible position, to be shot, as long as clearly figure information can be collected, the embodiment of the present invention is with no restrictions.
In specific implementation, in order to improve the accuracy rate of identification, the figure information of acquisition can be screened, is selected
The qualified figure information in primary scene acquisition is selected for identification.
In an embodiment of the present invention, the figure information acquired in primary scene can be sent to server, the clothes
Device be engaged in based on the figure information in primary scene acquisition for obtaining posture, portrait quality selection qualification.
In specific implementation, Face datection, face tracking, face cluster, photographic quality evaluation, preference policy can be passed through
Etc. technologies preferably go out the high-quality photo of portrait, the portrait quality may include clarity, figure information whether complete, portrait
Whether information the contents such as blocks.
Step S103 identifies whether the portrait acquired in primary scene is consistent with certificate portrait, exports the first recognition result.
In specific implementation, the server can use image characteristics extraction device, extract biological characteristic, to it is qualified
The portrait of primary scene acquisition and the certificate portrait of storage carry out pixel degree and compare processing, export first recognition result.
Step S104, whether identification is consistent in the portrait that primary scene acquires and the portrait in preset blacklist set,
Export the second recognition result.
In specific implementation, the server can use image characteristics extraction device, extract biological characteristic, by it is qualified
Processing is compared in the portrait in blacklist set stored in the portrait and database of primary scene acquisition, finds out similarity height
Pictorial information.
In an embodiment of the present invention, the server can use image characteristics extraction device, show to qualified first
Portrait in the portrait of field acquisition and the blacklist set of storage carries out pixel degree and compares processing, exports the second recognition result.
Step S105 acquires finger print information in primary scene.
In specific implementation, mobile terminal is easy to carry, easy to use due to having many advantages, such as, obtains at present extensive
Using, therefore finger print information can be acquired in primary scene by mobile terminal.
In specific implementation, in order to promote the efficiency of identification, fingerprint is acquired in primary scene and is adopted in primary scene
Different mobile terminals can be used by collecting portrait, avoid personnel's congestion.
Step S106 identifies whether the fingerprint acquired in primary scene is consistent with certificate fingerprint, exports third recognition result.
In specific implementation, it is affected due to Identification of Images by light, posture, and fingerprint recognition is not by light, posture
It influences, therefore can complement one another with Identification of Images, promote the accuracy rate of identification.
Step S107 is only to acquire in primary scene when first recognition result is consistent, described second recognition result
Portrait and blacklist set in any portrait it is inconsistent and when the third recognition result is consistent, identification is logical
It crosses, otherwise exports warning message.
It is understood that first recognition result, second recognition result and the third recognition result are only used
Identification different three times is distinguished, is not intended to limit the sequencing of the identification.In specific implementation, step can be first carried out
S103, then execute step S104, can also first carry out step S104, then execute step S103 or two steps can be parallel
It executes.In specific implementation, step S102~S104 can be first carried out, then executes step S105~S106, can also be first carried out
Step S105~S106, then execute step S102~S104 or step S102~S104 and step S105~S106 can be simultaneously
Row executes.
In specific implementation, at primary scene, such as venue entrance acquire portrait carry out blacklist identification there may be
Missing inspection situation, at this time can be after entering place, i.e., the secondary scene acquires figure information, and identifies the people acquired in the secondary scene
As whether consistent with the portrait in blacklist set, for being recognized to blacklist personnel, to improve identification
Accuracy rate.
In specific implementation, it is possible to which there are criminals to enter meeting-place by improper channel, at this time can be second
Collection in worksite figure information, and identify the portrait that acquire in the secondary scene with primary scene acquires and identification passes through
Whether portrait is consistent, then identifies whether there are the personnel for entering meeting-place by improper channel, wherein in primary scene acquisition
Portrait is the figure information acquired in step S102, may include the information such as face characteristic, height, figure and clothes.
In specific implementation, if the identification in primary scene passes through, its corresponding can be adopted in primary scene
The portrait of collection is sent to server, is used for subsequent secondary identification.
In specific implementation, the secondary scene can carry out portrait by the way of real-time tracking and adopt for inside place
Collection.
In an embodiment of the present invention, the method for the identification can also include: by monitoring camera second
Collection in worksite figure information；It identifies whether consistent in the portrait that the secondary scene acquire and the portrait in blacklist set, exports the
Four recognition results；Identify the portrait that acquire in the secondary scene with the portrait that primary scene acquires and identification passes through whether
Unanimously, the 5th recognition result is exported；When the 4th recognition result is appointing in the portrait and blacklist set that the secondary scene acquires
When one portrait is consistent, or when the 5th recognition result be the portrait that acquire in the secondary scene with primary scene acquire and identity
When all portraits being identified by are inconsistent, warning message is exported, the warning message includes described in secondary scene acquisition
Portrait location information.
It in specific implementation, can be to the figure information acquired in the secondary scene in order to improve the accuracy rate of identification
It is screened, selects the qualified figure information in secondary scene acquisition for identification.
In an embodiment of the present invention, the figure information in secondary scene acquisition can be sent to server, institute
Server is stated based on the figure information in secondary scene acquisition for obtaining posture, portrait quality selection qualification.
In specific implementation, Face datection, face tracking, face cluster, photographic quality evaluation, preference policy can be passed through
Etc. technologies preferably go out the high-quality photo of portrait, the portrait quality may include clarity, figure information whether complete, portrait
Whether information the contents such as blocks.
In specific implementation, blacklist of the server to the qualified portrait acquired in the secondary scene and storage
Portrait in set carries out portrait intellectual analysis, exports the 4th recognition result.
In an embodiment of the present invention, the portrait intellectual analysis includes: clothes, height, figure and face characteristic multidimensional
The analysis of degree identifies.
In specific implementation, the server to the qualified portrait in secondary scene acquisition and it is described it is qualified
Portrait that primary scene acquires and that identification passes through carries out portrait intellectual analysis, exports the 5th recognition result.
In an embodiment of the present invention, the portrait intellectual analysis includes: clothes, height, figure and face characteristic multidimensional
The analysis of degree identifies.
In specific implementation, it can export in the warning message to the position range in the portrait of secondary scene acquisition
Hand-held terminal device is manually checked, the hand-held terminal device real-time report location information.
Using above scheme, first by the true and false of identification certificate, certificate can be prevented to be forged caused certificate information
It is inconsistent with chip information, it prevents certificate stolen, improves the reliability of identification.Then by certificate Identification of Images, black
List identification and fingerprint recognition three-factor authentication can realize identification from multiple dimensions, improve the accurate of identification
Rate.And after personnel enter meeting-place, by real time monitoring, continuous verification is carried out to personnel, improves the accuracy rate of identification, really
Protect meeting-place safety.
To more fully understand those skilled in the art and implementing the present invention, the embodiment of the invention also provides another bodies
Part recognition methods, as shown in Figure 2.
Referring to fig. 2, the personal identification method may include steps of:
S201, certificate verification simultaneously obtain certificate information.
In specific implementation, first the certificate true and false can be verified, and obtains certificate letter in the case where certificate is genuine situation
Breath.Certificate information includes: certificate photograph and finger print information.
S202 acquires portrait in primary scene.
S203 carries out portrait comparison based on certificate photograph and in the portrait of primary scene acquisition.
In specific implementation, in order to improve the accuracy rate of identification, can by Face datection, face tracking, face cluster,
The technologies such as photographic quality evaluation, preference policy preferably go out the high-quality photo of portrait and compare for portrait.
In specific implementation, after the completion of portrait compares, the portrait acquired in primary scene can be sent to blacklist ratio
Blacklist comparison is carried out to module.
S204 judges whether the portrait acquired in primary scene is consistent with the portrait of certificate photograph, if in primary scene
The portrait of acquisition and the portrait of certificate photograph are inconsistent, export warning message, no to then follow the steps S205.
S205, the portrait based on blacklist set and the portrait in primary scene acquisition, carry out blacklist comparison.
S206 judges whether the portrait acquired in primary scene and the portrait in blacklist set are consistent, if first
The portrait of collection in worksite is consistent with any portrait in blacklist set, exports warning message, no to then follow the steps S207.
In specific implementation, the portrait acquired in primary scene can be judged by clothes, height and face biological characteristic
It is whether consistent with the portrait in blacklist set.
S207 acquires finger print information in primary scene.
S208 carries out fingerprint comparison based on certificate fingerprint and in the fingerprint of primary scene acquisition.
S209 judges whether the fingerprint acquired in primary scene is consistent with certificate fingerprint, if in primary scene acquisition
Fingerprint and certificate fingerprint are inconsistent, export warning message, no to then follow the steps S210.
S210 is verified.
To more fully understand those skilled in the art and implementing the present invention, the embodiment of the invention also provides another bodies
Part recognition methods, as shown in Figure 3.
Referring to Fig. 3, the personal identification method be may include steps of:
S301 acquires portrait in the secondary scene.
In specific implementation, portrait can be acquired in real time in the secondary scene by multiple monitoring cameras of deployment.
S302, the portrait based on blacklist set and the portrait in secondary scene acquisition, carry out blacklist comparison.
It in specific implementation, can be to the figure information acquired in the secondary scene in order to improve the accuracy rate of identification
It is screened, selects the qualified figure information in secondary scene acquisition for identification.
In an embodiment of the present invention, the figure information in secondary scene acquisition can be sent to server, institute
Server is stated based on the figure information in secondary scene acquisition for obtaining posture, portrait quality selection qualification.
In specific implementation, Face datection, face tracking, face cluster, photographic quality evaluation, preference policy can be passed through
Etc. technologies preferably go out the high-quality photo of portrait.
In specific implementation, the portrait acquired in the secondary scene can be judged by clothes, height and face biological characteristic
It is whether consistent with the portrait in blacklist set.
S303 judges whether the portrait acquired in the secondary scene and the portrait in blacklist set are consistent, if second
Any portrait in the portrait and blacklist set of collection in worksite is inconsistent, terminates, no to then follow the steps S304.
S304 audits figure information, and generates warning message, and the warning message includes described in secondary scene acquisition
The location information of portrait.
S305, handheld terminal receive warning message.
In specific implementation, the position range of the warning message to the live portrait in secondary scene acquisition can be exported
Interior hand-held terminal device indicates that staff rushes for scene progress manual confirmation investigation in field.
To more fully understand those skilled in the art and implementing the present invention, the embodiment of the invention provides another identity
Recognition methods, as shown in Figure 4.
Referring to fig. 4, the personal identification method may include steps of:
Step S401 carries out identification in primary scene.
In specific implementation, the realization that step S101~S107 can be referred in primary scene progress identification,
Details are not described herein again.
Step S402, identification pass through, and the portrait acquired in primary scene is stored in server.
It when identification passes through, i.e., is first when first recognition result is consistent, described second recognition result
It, will when any portrait in the portrait of collection in worksite and blacklist set is inconsistent and the third recognition result is consistent
The corresponding portrait in primary scene acquisition is stored in server.
Step S403 acquires figure information in the secondary scene.
In specific implementation, described to acquire figure information in the secondary scene as in place, real-time tracking acquires figure information.
Whether step S404, identify consistent in the portrait that the secondary scene acquire and the portrait in blacklist set, exports the
Four recognition results.
Step S405, identify portrait acquire in the secondary scene and storage primary scene acquisition and identification lead to
Whether the portrait crossed is consistent, exports the 5th recognition result.
S406, when the 4th recognition result is consistent with any portrait in blacklist set in the portrait that the secondary scene acquires
When, or when the 5th recognition result be the portrait that acquire in the secondary scene with primary scene acquires and identification passes through
When all portraits are inconsistent, warning message is exported, is manually checked.
To more fully understand those skilled in the art and implementing the present invention, on being able to achieve
The device of personal identification method is stated, as shown in Figure 5.
Referring to Fig. 5, the embodiment of the invention provides a kind of identity recognition devices 50, comprising: extraction unit 51, first acquires
Unit 52, the first recognition unit 53, the second recognition unit 54, the second acquisition unit 55, third recognition unit 56 and determination unit
57, in which:
The extraction unit 51 extracts certificate portrait letter suitable for identifying the true and false of certificate and in the case where certificate is genuine situation
Breath and certificate finger print information.
First acquisition unit 52 is suitable for acquiring figure information in primary scene.
First recognition unit 53, it is defeated suitable for identifying whether the portrait acquired in primary scene is consistent with certificate portrait
First recognition result out.
Second recognition unit 54, suitable for identifying in the portrait and preset blacklist set that primary scene acquires
Whether portrait is consistent, exports the second recognition result.
Second acquisition unit 55 is suitable for acquiring finger print information in primary scene.
The third recognition unit 56, it is defeated suitable for identifying whether the fingerprint acquired in primary scene is consistent with certificate fingerprint
Third recognition result out.
The determination unit 57, suitable for only when first recognition result is consistent, described second recognition result being the
When any portrait in the portrait of one collection in worksite and blacklist set is inconsistent and the third recognition result is consistent,
Identification passes through, and otherwise exports warning message.
In an embodiment of the present invention, first acquisition unit 52 is suitable for existing using the camera being arranged in mobile device
Primary scene acquires figure information.
In specific implementation, the identity recognition device 50 can also include: the first selection unit (not shown), be suitable for choosing
Take the qualified figure information in primary scene acquisition.
In an embodiment of the present invention, first selection unit is suitable for choosing based on acquisition posture, portrait quality qualified
Primary scene acquisition figure information.
In specific implementation, first recognition unit 53 is suitable for using image characteristics extraction device, to qualified first
The portrait of collection in worksite and the certificate portrait of storage carry out pixel degree and compare processing, export first recognition result.
In specific implementation, second recognition unit 54 is suitable for using image characteristics extraction device, to qualified first
Portrait in the portrait of collection in worksite and the blacklist set of storage carries out pixel degree and compares processing, exports the second recognition result.
In an embodiment of the present invention, second acquisition unit 55 is suitable for being acquired using mobile device in primary scene and be referred to
Line information.
In specific implementation, the identity recognition device 50 can also include: third acquisition unit (not shown), the 4th knowledge
Other unit (not shown), the 5th recognition unit (not shown) and output unit (not shown), in which:
The third acquisition unit is suitable for acquiring figure information in the secondary scene by monitoring camera.
4th recognition unit, suitable for whether identifying the portrait in the portrait and blacklist set that the secondary scene acquires
Unanimously, the 4th recognition result is exported；
5th recognition unit, suitable for identify portrait acquire in the secondary scene with primary scene acquire and identification
By portrait it is whether consistent, export the 5th recognition result；
The output unit, suitable for being in the portrait and blacklist set that the secondary scene acquires when the 4th recognition result
When any portrait is consistent, or when the 5th recognition result be the portrait that acquire in the secondary scene with primary scene acquire and body
When all portraits that part is identified by are inconsistent, warning message is exported, the warning message is adopted comprising described in the secondary scene
The location information of the portrait of collection.
In specific implementation, the identity recognition device 50 can also include: the second selection unit (not shown), be suitable for choosing
Take the qualified figure information in secondary scene acquisition.
In an embodiment of the present invention, second selection unit is suitable for choosing based on acquisition posture, portrait quality qualified
The secondary scene acquisition figure information.
In specific implementation, the 4th recognition unit be suitable for the qualified portrait in secondary scene acquisition with deposit
Portrait in the blacklist set of storage carries out portrait intellectual analysis, exports the 4th recognition result.
In specific implementation, the 5th recognition unit is suitable for the qualified portrait acquired in the secondary scene and institute
State it is qualified primary scene acquisition and portrait that identification passes through carry out portrait intellectual analysis, the 5th identification knot of output
Fruit.
In specific implementation, the portrait intellectual analysis includes: clothes, height, figure and the identification of face characteristic various dimensions.
The embodiment of the invention provides a kind of computer-readable mediums, are stored thereon with computer instruction, the computer
Any of the above-described kind of step corresponding to the method is executed when instruction operation, details are not described herein again.
In specific implementation, the computer readable storage medium may include: ROM, RAM, disk or CD etc..
The embodiment of the invention provides a kind of identifying system, including memory and processor, it is stored on the memory
The computer instruction that can be run on the processor, the processor execute any institute when running the computer instruction
Step corresponding to method is stated, details are not described herein again.
Although present disclosure is as above, present invention is not limited to this.Anyone skilled in the art are not departing from this
It in the spirit and scope of invention, can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
Subject to the range of restriction.
Claims (30)
1. a kind of personal identification method characterized by comprising
It identifies the true and false of certificate and in the case where certificate is genuine situation, extracts certificate figure information and certificate finger print information；
Figure information is acquired in primary scene；
Identify whether the portrait acquired in primary scene is consistent with certificate portrait, exports the first recognition result；
Identify, output second identification knot whether consistent in the portrait that primary scene acquires and the portrait in preset blacklist set
Fruit；
Finger print information is acquired in primary scene；
Identify whether the fingerprint acquired in primary scene is consistent with certificate fingerprint, exports third recognition result；
It is only the portrait and blacklist acquired in primary scene when first recognition result is consistent, described second recognition result
When any portrait in set is inconsistent and the third recognition result is consistent, identification passes through, otherwise output alarm
Information.
2. personal identification method according to claim 1, which is characterized in that existed using the camera being arranged in mobile device
Primary scene acquires figure information.
3. personal identification method according to claim 2, which is characterized in that choose the qualified people in primary scene acquisition
As information.
4. personal identification method according to claim 3, which is characterized in that described to choose acquiring in primary scene for qualification
Figure information include:
The figure information acquired in primary scene is sent to server；
The server is based on the figure information in primary scene acquisition for obtaining posture, portrait quality selection qualification.
5. personal identification method according to claim 4, which is characterized in that described to identify the portrait acquired in primary scene
Whether consistent with certificate portrait, the first recognition result of output includes:
The server uses image characteristics extraction device, to qualified in the portrait of primary scene acquisition and the certificate portrait of storage
Pixel degree comparison processing is carried out, first recognition result is exported.
6. personal identification method according to claim 4, which is characterized in that described to identify the portrait acquired in primary scene
Whether consistent with the portrait in blacklist set, the second recognition result of output includes:
The server uses image characteristics extraction device, to qualified in the portrait of primary scene acquisition and the blacklist collection of storage
Portrait in conjunction carries out pixel degree comparison processing, exports the second recognition result.
7. personal identification method according to claim 1, which is characterized in that using mobile device, in primary scene, acquisition refers to
Line information.
8. personal identification method according to any one of claims 1 to 7, which is characterized in that further include:
Figure information is acquired in the secondary scene by monitoring camera；
Identify, output fourth recognition result whether consistent in the portrait that the secondary scene acquires and the portrait in blacklist set；
Identify the portrait that acquires in the secondary scene with it is whether consistent in the portrait that primary scene acquires and identification passes through, it is defeated
5th recognition result out；
When the 4th recognition result is or to work as when the portrait that the secondary scene acquires is consistent with any portrait in blacklist set
5th recognition result be the portrait that acquire in the secondary scene in all portraits that primary scene acquires and identification passes through
When inconsistent, warning message is exported, the warning message includes the location information of the portrait in secondary scene acquisition.
9. personal identification method according to claim 8, which is characterized in that choose the qualified people in secondary scene acquisition
As information.
10. personal identification method according to claim 9, which is characterized in that described to choose adopting in the secondary scene for qualification
The figure information of collection includes:
The figure information in secondary scene acquisition is sent to server；
The server is based on the figure information in secondary scene acquisition for obtaining posture, portrait quality selection qualification.
11. personal identification method according to claim 10, which is characterized in that described to identify the people acquired in the secondary scene
Whether as consistent with the portrait in blacklist set, the 4th recognition result of output includes:
The server carries out the qualified portrait in the portrait of secondary scene acquisition and the blacklist set of storage
Portrait intellectual analysis exports the 4th recognition result.
12. personal identification method according to claim 10, which is characterized in that described to identify the people acquired in the secondary scene
As with it is whether consistent in the portrait that primary scene acquires and identification passes through, the 5th recognition result of output includes:
The server to the qualified portrait in secondary scene acquisition and it is described it is qualified primary scene acquisition and
The portrait that identification passes through carries out portrait intellectual analysis, exports the 5th recognition result.
13. personal identification method according to claim 12, which is characterized in that the portrait intellectual analysis include: clothes,
Height, figure and the identification of face characteristic various dimensions.
14. personal identification method according to claim 8, which is characterized in that export the warning message and show to second
Hand-held terminal device in the position range of the portrait of field acquisition, is manually checked, the hand-held terminal device real-time report
Location information.
15. a kind of identity recognition device characterized by comprising
Extraction unit extracts certificate figure information and certificate refers to suitable for identifying the true and false of certificate and in the case where certificate is genuine situation
Line information；
First acquisition unit is suitable for acquiring figure information in primary scene；
First recognition unit, suitable for identifying whether the portrait acquired in primary scene is consistent with certificate portrait, the first identification of output
As a result；
Second recognition unit, suitable for identify portrait that primary scene acquire and the portrait in preset blacklist set whether one
It causes, exports the second recognition result；
Second acquisition unit is suitable for acquiring finger print information in primary scene；
Third recognition unit, suitable for identifying whether the fingerprint acquired in primary scene is consistent with certificate fingerprint, output third identification
As a result；
Determination unit, suitable for only when first recognition result is consistent, described second recognition result in primary scene acquisition
Portrait and blacklist set in any portrait it is inconsistent and when the third recognition result is consistent, identification is logical
It crosses, otherwise exports warning message.
16. identity recognition device according to claim 15, which is characterized in that first acquisition unit is suitable for using shifting
The camera being arranged in dynamic equipment acquires figure information in primary scene.
17. identity recognition device according to claim 16, which is characterized in that further include: the first selection unit is suitable for choosing
Take the qualified figure information in primary scene acquisition.
18. identity recognition device according to claim 17, which is characterized in that first selection unit is suitable for being based on obtaining
Posture, portrait quality is taken to choose the qualified figure information in primary scene acquisition.
19. identity recognition device according to claim 18, which is characterized in that first recognition unit is suitable for using figure
As feature extractor, processing is compared in the portrait of primary scene acquisition and the certificate portrait progress pixel degree of storage to qualified,
Export first recognition result.
20. identity recognition device according to claim 18, which is characterized in that second recognition unit is suitable for using figure
As feature extractor, pixel degree is carried out to the qualified portrait in the portrait of primary scene acquisition and the blacklist set of storage
Comparison processing, exports the second recognition result.
21. identity recognition device according to claim 15, which is characterized in that second acquisition unit is suitable for using shifting
Dynamic equipment acquires finger print information in primary scene.
22. 5 to 21 described in any item identity recognition devices according to claim 1, which is characterized in that further include:
Third acquisition unit is suitable for acquiring figure information in the secondary scene by monitoring camera；
4th recognition unit, it is whether consistent in the portrait that the secondary scene acquires and the portrait in blacklist set suitable for identifying, it is defeated
4th recognition result out；
5th recognition unit, suitable for identify the portrait acquired in the secondary scene with primary scene acquire and identification pass through
Portrait it is whether consistent, export the 5th recognition result；
Output unit, suitable for being any portrait in the portrait and blacklist set that the secondary scene acquires when the 4th recognition result
When consistent, or when the 5th recognition result be the portrait that acquire in the secondary scene with primary scene acquisition and identification lead to
When all portraits crossed are inconsistent, warning message is exported, the warning message includes the portrait in secondary scene acquisition
Location information.
23. identity recognition device according to claim 22, which is characterized in that further include: the second selection unit is suitable for choosing
Take the qualified figure information in secondary scene acquisition.
24. identity recognition device according to claim 23, which is characterized in that second selection unit is suitable for being based on obtaining
Posture, portrait quality is taken to choose the qualified figure information in secondary scene acquisition.
25. identity recognition device according to claim 24, which is characterized in that the 4th recognition unit is suitable for described
The qualified portrait in the portrait of secondary scene acquisition and the blacklist set of storage carries out portrait intellectual analysis, output the 4th
Recognition result.
26. identity recognition device according to claim 24, which is characterized in that the 5th recognition unit is suitable for described
Qualified portrait in secondary scene acquisition and it is described it is qualified primary scene acquisition and portrait that identification passes through into
Pedestrian exports the 5th recognition result as intellectual analysis.
27. identity recognition device according to claim 26, which is characterized in that the portrait intellectual analysis include: clothes,
Height, figure and the identification of face characteristic various dimensions.
28. identity recognition device according to claim 22, which is characterized in that the output unit is suitable for exporting the report
Hand-held terminal device in alert information to the position range in the portrait of secondary scene acquisition, is manually checked, described hand-held
Terminal device real-time report location information.
29. a kind of computer-readable medium, is stored thereon with computer instruction, which is characterized in that the computer instruction operation
When the perform claim step that requires any one of 1 to 14 the method corresponding.
30. a kind of identifying system, which is characterized in that including memory and processor, being stored on the memory can be in institute
The computer instruction run on processor is stated, perform claim requires 1 to 14 when the processor runs the computer instruction
Step corresponding to one the method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710824706.3A CN109492509A (en) | 2017-09-13 | 2017-09-13 | Personal identification method, device, computer-readable medium and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710824706.3A CN109492509A (en) | 2017-09-13 | 2017-09-13 | Personal identification method, device, computer-readable medium and system |
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| CN201710824706.3A Pending CN109492509A (en) | 2017-09-13 | 2017-09-13 | Personal identification method, device, computer-readable medium and system |
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