CN110096988A - A kind of self-service personnel identity verifying system based on recognition of face - Google Patents
A kind of self-service personnel identity verifying system based on recognition of face Download PDFInfo
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- CN110096988A CN110096988A CN201910334238.0A CN201910334238A CN110096988A CN 110096988 A CN110096988 A CN 110096988A CN 201910334238 A CN201910334238 A CN 201910334238A CN 110096988 A CN110096988 A CN 110096988A
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- 238000007405 data analysis Methods 0.000 claims abstract description 18
- 230000006698 induction Effects 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 14
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000005266 casting Methods 0.000 claims description 6
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- 238000009434 installation Methods 0.000 claims description 4
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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
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
- G06K7/10297—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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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
Abstract
The invention discloses a kind of self-service personnel identity verifying system based on recognition of face, including induction module, top control module, ID card information read module, face image acquisition module, data reception module, data processing module, number acquisition module, voice reminder module, data analysis module, data comparing module, Police Information import modul, public security database and comparison information notification module；Wherein, the induction module and top control module communicate to connect, ID card information read module and top control module communicate to connect, the face image acquisition module and top control module communicate to connect, the data reception module and identity information read module communication connection, the data reception module are also communicated to connect with face image acquisition module；The present invention can the faster and better identity part to passenger verify, while can also supervise and guide to passenger, and the system has more functions and is more suitable popularization and use.
Description
Technical field
The invention belongs to verifying system field, it is related to recognition of face utilization technology, it is specifically a kind of based on recognition of face
Self-service personnel identity verifying system.
Background technique
With rapid development of economy and the quickening of Development of China's Urbanization, China's urban population is increasingly intensive, urban population
Mobility also greatly increases.The regions such as bus station, railway station, stadium, conference and exhibition center are always gathering of people, the ground mixed
In side, especially bus station station and periphery, environment are complicated, not manageability, be management difficult point and at present in addition to railway, including each vapour
Many industries including station are still without effectively carrying out the identity veritification for tourist, so being badly in need of a kind of new identity veritification
System is veritified the identity part of tourist.
Existing station tourist identity verifying system, in use, the speed that identity is veritified are not fast enough, meanwhile,
Verification procedure row cannot supervise and guide to passenger, be easy to happen and be lined up too long situation hair before being individually mounted with the apparatus for checking
It is raw, while function is more single is no longer satisfied growing use demand；In order to solve these defects, it is proposed that a kind of
Solution.
Summary of the invention
The purpose of the present invention is to provide a kind of self-service personnel identity verifying system based on recognition of face.
The technical problems to be solved by the invention are as follows:
(1) how according to preferably progress authentication faster；
(2) inspection to passenger how is realized；
(3) system how is allowed to have more functions；
The purpose of the present invention can be achieved through the following technical solutions:
A kind of self-service personnel identity verifying system based on recognition of face, including induction module, top control module, identity card letter
Cease read module, face image acquisition module, data reception module, data processing module, number acquisition module, voice reminder mould
Block, data analysis module, data comparing module, Police Information import modul, public security database and comparison information notification module；
Wherein, the induction module and top control module communicate to connect, and ID card information read module is communicated with top control module
Connection, the face image acquisition module and top control module communicate to connect, and the data reception module and identity information read mould
Block communication connection, the data reception module are also communicated to connect with face image acquisition module, the data processing module and number
Communicated to connect according to receiving module, the number acquisition module and data processing module communicate to connect, the voice reminder module with
Data processing module communication connection, the data analysis module and data comparing module communicate to connect, and the Police Information imports
Module and data comparing module communicate to connect, and the public security database and Police Information import modul are wirelessly connected；
Whether the induction module has pedestrian before being used to incude the equipment of installation system, and sends master control for sensed data
Module, the top control module controls ID card information read module for issuing control instruction and face image acquisition module is transported
Make, the ID card information acquisition read module is used to read the ID card information of passenger, and the face image acquisition module is used
In the face information of acquisition passenger, data reception module information for receiving data, and its received data information is sent out
It is sent to data processing module to be handled, the number acquisition module is used to acquire the queue number before the equipment using the system
Information can send data processing module for collected number information and handle, the data processing module for pair
The dataware processing received, can handle out voice reminder and instruct and be sent in voice reminder module, the voice reminder
Module can broadcast the voice reminder information that data processing module is dealt, and the data analysis module can receive data processing
The face image information and ID card information that module comes out, wanted criminal is stored in the public security database and net escapes the letter of personnel
Data in public security database can be imported into data comparing module by breath, the Police Information import modul, the data ratio
Module is used to that real-time collected information to be compared with the information in public security database, and handles out comparison information transmission
Into comparison information notification module；
The face image acquisition module is made of two groups of cameras, can shoot the mug shot of two passengers, described
Authentication module can extract the ID card information of passenger, the ID card information extracted include passenger's identity card photo,
Identity card address information and ID card No. information, the data processing module can be handled the data received, be had
Body treatment process is as follows；
Step 1: the photo that face image acquisition module takes is extracted, and therefrom chooses resolution ratio higher one
As the source of comparison；
Step 2: the photo in source as a comparison is zoomed into preset ratio；
Step 3: the photo uniform zoom on passenger's identity card is taken to the face image acquisition module after scaling
The identical size of photo size；
Step 4: being P1 by passenger's photograph tags of captured in real-time, and the identity card picture of passenger is labeled as P2；
Step 5: mark point A1 and point A2 are set by two tail of the eyes in the face on P1；
Step 6: by point A1 and point A2 line, straight line L1 is obtained；
Step 7: emphasis in straight line L1 is labeled as point A3, extends downwardly out straight line L2 from point A3；
Step 8: being labeled as point A4 for the intersection point of straight line L2 and chin, can be with by point A1 and point A2 respectively at point A4 line
Obtain straight line L3 and straight line L4；
Step 9: mark point B1 and point B2 are set by two tail of the eyes in the face on P2；
Step 10: by point B1 and point B2 line, straight line Z1 is obtained；
Step 11: emphasis in straight line Z1 is labeled as point B3, extends downwardly out straight line Z2 from point B3；
Step 12: being labeled as point B4 for the intersection point of straight line Z2 and chin, can by point B1 and point B2 respectively at point B4 line
To obtain straight line Z3 and straight line Z4；
The number acquisition module can will be collected for acquiring the number information before being mounted with the equipment of the system
Number information be sent to data processing module.
Further, the data processing module is as follows to the treatment process of collected number information:
S1: number information will be collected labeled as Rt；
S2: by it is collected everyone be labeled as a point, be marked as Ki, i=1 ... n；
S3: measure K1 to K2, K2 to K3 ... the distance of Kn-1 to Kn, available Dti, i=1 ... n；
S4: pass through formula Dt1+Dt2+Dt3 ...=Dtn=DtAlways, available total distance value DtAlways；
S5: pass through formula againAverage distance between available each point
S6: when Rt be greater than preset value, andWhen less than preset value, data processing module i.e. can the transmission of the first phonetic order
Into voice reminder module；
S7: when Rt be less than preset value, andWhen less than preset value, data processing module i.e. can the transmission of the second phonetic order
Into voice reminder module.
Further, the casting content of first phonetic order is that " current device verifying identity passenger is more, asks tourist
Go to other equipment into authentication ", the casting content of second phonetic order is that " current device verifying personnel are less, ask
Passenger sequences team should not be crowded ".
Further, the data analysis module can analyze the data that data processing module is handled well, specific
Analytic process is as follows:
SS1: pass through formula (L3+L4)/L1=LtThan, available coefficient of correlation LtThan；
SS2: pass through formula (Z3+Z4)/Z1=ZtThan, available coefficient of correlation ZtThan；
SS3: pass through formula Lt againThan- ZtThan=Qt, available Qt, i.e. the difference Qt of coefficient of correlation；
SS4: when | Qt | when being greater than preset value, verifying does not pass through, i.e., the face information acquired in real time and ID card information are not
Matching；
SS5: when | Qt | when being less than preset value, verifying does not also pass through, i.e., the face information and ID card information acquired in real time
It mismatches；
SS6: when | Qt | it when in values, is verified, i.e., the face information and ID card information acquired in real time
Matching.
Further, wanted criminal is stored in the public security database and net escapes the information of personnel, the comparing mould
Block it can be compared processing after receiving the information of public security database of Police Information import modul importing, specific
It is as follows to compare treatment process；
(1): the information that wanted criminal and net escape personnel is subjected to face characteristic information in the way of step 4 to step 7
Acquisition available straight line V1, V2, V3 and V4；
(2): passing through formula (V3+V4)/V1=VtThan, available wanted criminal and net escape the model coefficient Vt of personnelThan；
(3): passing through formula Zt againThan- VtThan=Mt, i.e., real-time captured identity model of a syndrome coefficient and wanted criminal and net escape personnel
Model coefficient difference Mt；
(4): when Mt is greater than preset value, indicating passenger and wanted criminal and net to escape personnel that it fails to match, i.e., do not handle out and lead to
Know information；
(5): when Mt is less than preset value, indicating passenger and wanted criminal and net to escape personnel that it fails to match, i.e., do not handle out and lead to
Know information；
(6): as Mt=0, indicating that passenger and wanted criminal and net escape personnel's successful match, that is, handle information of putting up a notice.
Beneficial effects of the present invention:
(1) present invention can acquire the people before being mounted with the equipment of the system by the number acquisition module of setting in real time
Traffic conditions, and by formula Dt it is total/n=`Dt, average distance `Dt between available each point, further according to the size of `Dt
It is instructed to issue different types of verbal announcement, so as to avoid being individually mounted with to be lined up too long influence inspection before the equipment of the system
The situation for looking into efficiency occurs, while can also avoid the excessively crowded caused unexpected generation of passenger；
(2) present invention passes through the data analysis module of setting and receives the information that message processing module is handled well, at data
Reason module can extract characteristic point from the ID card information of the face information and passenger that acquire in real time, the special medical treatment point letter handled well
Breath is sent in band data analysis module, then passes through formula Lt ratio-Zt ratio=Qt, available Qt, the i.e. difference of coefficient of correlation
Qt, as | Qt | when being greater than preset value and | Qt | verify when less than in preset value and do not pass through, as | Qt | when again in values
Just be verified, handled and calculated by acquiring special medical treatment point, can more quickly to the identity of passenger into
Row verifying；
(3) present invention can be carried out by the public security database and public security data import modul of setting to passenger's identity
While verifying, the wanted criminal in the ID card information of passenger and public security database is compared with runaway convict's information, allows this to be
System can also aid in public security department lookup suspect and net escapes personnel, allow this while verifying to passenger's identity
System has a variety of different functions.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of self-service personnel identity verifying system based on recognition of face, including induction module, master control mould
Block, ID card information read module, face image acquisition module, data reception module, data processing module, number acquire mould
Block, voice reminder module, data analysis module, data comparing module, Police Information import modul, public security database and compare letter
Cease notification module；
Wherein, induction module and top control module communicate to connect, and ID card information read module and top control module communicate to connect,
Face image acquisition module and top control module communicate to connect, data reception module and identity information read module communication connection, number
It is also communicated to connect with face image acquisition module according to receiving module, data processing module and data reception module communicate to connect, people
Number acquisition module and data processing module communicate to connect, and voice reminder module and data processing module communicate to connect, data analysis
Module and data comparing module communicate to connect, and Police Information import modul and data comparing module communicate to connect, public security database
It is wirelessly connected with Police Information import modul；
Whether induction module has pedestrian before being used to incude the equipment of installation system, and sends master control mould for sensed data
Block, ID card information read module is controlled for issuing control instruction for top control module and face image acquisition module operates, body
Part card information collection read module is used to read the ID card information of passenger, and face image acquisition module is used to acquire the people of passenger
Face information, data reception module information for receiving data, and by its received data information be sent to data processing module into
Row processing, number acquisition module are used to acquire the queue number information before the equipment using the system, can be by collected people
Number information is sent to data processing module and is handled, and data processing module is used to handle the dataware received, can locate
It manages out voice reminder to instruct and be sent in voice reminder module, voice reminder module can broadcast data processing module and deal
Voice reminder information, data analysis module can receive data processing module come out face image information and identity card letter
Breath, stores wanted criminal in public security database and net escapes the information of personnel, and Police Information import modul can will be in public security database
Data imported into data comparing module, data comparing module, can will real-time collected information after receiving information
Be compared with the information in public security database, and handle out comparison information transmission into comparison information notification module；
Face image acquisition module is made of two groups of cameras, can shoot the mug shot of two passengers, authentication
Module can extract the ID card information of passenger, and the ID card information that extracts includes the photo of passenger's identity card, identity card
Location information and ID card No. information, data reception module will forward information to data processing module, and data processing module can be right
The data received are handled, and concrete processing procedure is as follows；
Step 1: the photo that face image acquisition module takes is extracted, and therefrom chooses resolution ratio higher one
As the source of comparison；
Step 2: the photo in source as a comparison is zoomed into preset ratio；
Step 3: the photo uniform zoom on passenger's identity card is taken to the face image acquisition module after scaling
The identical size of photo size；
Step 4: being P1 by passenger's photograph tags of captured in real-time, and the identity card picture of passenger is labeled as P2；
Step 5: mark point A1 and point A2 are set by two tail of the eyes in the face on P1；
Step 6: by point A1 and point A2 line, straight line L1 is obtained；
Step 7: emphasis in straight line L1 is labeled as point A3, extends downwardly out straight line L2 from point A3；
Step 8: being labeled as point A4 for the intersection point of straight line L2 and chin, can be with by point A1 and point A2 respectively at point A4 line
Obtain straight line L3 and straight line L4；
Step 9: mark point B1 and point B2 are set by two tail of the eyes in the face on P2；
Step 10: by point B1 and point B2 line, straight line Z1 is obtained；
Step 11: emphasis in straight line Z1 is labeled as point B3, extends downwardly out straight line Z2 from point B3；
Step 12: being labeled as point B4 for the intersection point of straight line Z2 and chin, can by point B1 and point B2 respectively at point B4 line
To obtain straight line Z3 and straight line Z4；
Number acquisition module is used to acquire the number information before being mounted with the equipment of the system, and can be by collected people
Number information is sent to data processing module.
Data processing module is as follows to the treatment process of collected number information:
S1: number information will be collected labeled as Rt；
S2: by it is collected everyone be labeled as a point, be marked as Ki, i=1 ... n；
S3: measure K1 to K2, K2 to K3 ... the distance of Kn-1 to Kn, available Dti, i=1 ... n；
S4: pass through formula Dt1+Dt2+Dt3 ...=Dtn=DtAlways, available total distance value DtAlways；
S5: pass through formula Dt againAlways/ n=Dt, average distance between available each point
S6: when Rt be greater than preset value, andWhen less than preset value, data processing module i.e. can the transmission of the first phonetic order
Into voice reminder module；
S7: when Rt be less than preset value, andWhen less than preset value, data processing module i.e. can the transmission of the second phonetic order
Into voice reminder module.
The casting content of first phonetic order is that " current device verifying identity passenger is more, and tourist is asked to go to other equipment
Into authentication ", the casting content of the second phonetic order is that " current device verifying personnel are less, and asking passenger to sequence team not gather around
It squeezes ".
Data analysis module can analyze the data that data processing module is handled well, and concrete analysis process is as follows:
SS1: pass through formula (L3+L4)/L1=LtThan, available coefficient of correlation LtThan；
SS2: pass through formula (Z3+Z4)/Z1=ZtThan, available coefficient of correlation ZtThan；
SS3: pass through formula Lt againThan- ZtThan=Qt, available Qt, i.e. the difference Qt of coefficient of correlation；
SS4: when | Qt | when being greater than preset value, verifying does not pass through, i.e., the face information acquired in real time and ID card information are not
Matching；
SS5: when | Qt | when being less than preset value, verifying does not also pass through, i.e., the face information and ID card information acquired in real time
It mismatches；
SS6: when | Qt | it when in values, is verified, i.e., the face information and ID card information acquired in real time
Matching.
Wanted criminal is stored in public security database and net escapes the information of personnel, and data comparing module can receive public security letter
Processing can be compared to it after the information for the public security database that breath import modul imports, it is as follows specifically to compare treatment process；
(1): the information that wanted criminal and net escape personnel is subjected to face characteristic information in the way of step 4 to step 7
Acquisition available straight line V1, V2, V3 and V4；
(2): passing through formula (V3+V4)/V1=VtThan, available wanted criminal and net escape the model coefficient Vt of personnelThan；
(3): passing through formula Zt againThan- VtThan=Mt, i.e., real-time captured identity model of a syndrome coefficient and wanted criminal and net escape personnel
Model coefficient difference Mt；
(4): when Mt is greater than preset value, indicating passenger and wanted criminal and net to escape personnel that it fails to match, i.e., do not handle out and lead to
Know information；
(5): when Mt is less than preset value, indicating passenger and wanted criminal and net to escape personnel that it fails to match, i.e., do not handle out and lead to
Know information；
(6): as Mt=0, indicating that passenger and wanted criminal and net escape personnel's successful match, that is, handle information of putting up a notice.
A kind of self-service personnel identity verifying system based on recognition of face, at work, induction module is for incuding first
Whether there is pedestrian before the equipment of installation system, and send top control module for sensed data, top control module refers to for issuing control
It enables to control ID card information read module and face image acquisition module and operate, ID card information acquisition read module is for reading
The ID card information of passenger is taken, face image acquisition module is used to acquire the face information of passenger, and data reception module is for connecing
Data information is received, and sends data processing module for its received data information and handles, number acquisition module can be real
When acquisition be mounted with the flow of the people situation before the equipment of the system, and pass through formulaAvailable each point it
Between average distanceFurther according toSize issue different types of verbal announcement instruction, so as to avoid being individually mounted with
It is lined up the too long situation for influencing to check efficiency before the equipment of the system to occur, while passenger can also be avoided excessively crowded caused
It is unexpected to occur, data processing module can be sent by collected number information and handled, data processing module for pair
The dataware processing received, can handle out voice reminder and instruct and be sent in voice reminder module, voice reminder module
The voice reminder information that data processing module is dealt can be broadcasted, data analysis module can receive data processing module and come out
Face image information and ID card information, wanted criminal is stored in public security database and net escapes the information of personnel, Police Information
Data in public security database can be imported into data comparing module by import modul, and data comparing module is receiving information
Afterwards, real-time collected information can be compared with the information in public security database, and handles out comparison information transmission
Into comparison information notification module, police can be checked corresponding passenger according to the information received.
The present invention can acquire the people before being mounted with the equipment of the system by the number acquisition module of setting in real time first
Traffic conditions, and pass through formulaAverage distance between available each pointFurther according toSize
It is instructed to issue different types of verbal announcement, so as to avoid being individually mounted with to be lined up too long influence inspection before the equipment of the system
The situation for looking into efficiency occurs, while can also avoid the excessively crowded caused unexpected generation of passenger；
Secondly the present invention passes through the data analysis module of setting and receives the information that message processing module is handled well, at data
Reason module can extract characteristic point from the ID card information of the face information and passenger that acquire in real time, the special medical treatment point letter handled well
Breath is sent in band data analysis module, then passes through formula LtThan- ZtThan=Qt, available Qt, i.e. the difference Qt of coefficient of correlation,
As | Qt | when being greater than preset value and | Qt | verify when less than in preset value and do not pass through, as | Qt | Shi Caiyu in values again
To be verified, is handled and calculated by acquisition special medical treatment point, more quickly the identity of passenger can be tested
Card；
The last present invention can be carried out by the public security database and public security data import modul of setting to passenger's identity
While verifying, the wanted criminal in the ID card information of passenger and public security database is compared with runaway convict's information, allows this to be
System can also aid in public security department lookup suspect and net escapes personnel, allow this while verifying to passenger's identity
System has a variety of different functions.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (5)
1. a kind of self-service personnel identity verifying system based on recognition of face, which is characterized in that including induction module, master control mould
Block, ID card information read module, face image acquisition module, data reception module, data processing module, number acquire mould
Block, voice reminder module, data analysis module, data comparing module, Police Information import modul, public security database and compare letter
Cease notification module；
Wherein, the induction module and top control module communicate to connect, and ID card information read module and top control module communicate to connect,
The face image acquisition module and top control module communicate to connect, and the data reception module and identity information read module communicate
Connection, the data reception module are also communicated to connect with face image acquisition module, the data processing module and data receiver
Module communication connection, the number acquisition module and data processing module communicate to connect, at the voice reminder module and data
Manage module communication connection, the data analysis module and data comparing module communicate to connect, the Police Information import modul with
Data comparing module communication connection, the public security database and Police Information import modul are wirelessly connected；
Whether the induction module has pedestrian before being used to incude the equipment of installation system, and sends master control mould for sensed data
Block, the top control module controls ID card information read module for issuing control instruction and face image acquisition module is transported
Make, the ID card information acquisition read module is used to read the ID card information of passenger, and the face image acquisition module is used
In the face information of acquisition passenger, data reception module information for receiving data, and its received data information is sent out
It is sent to data processing module to be handled, the number acquisition module is used to acquire the queue number before the equipment using the system
Information can send data processing module for collected number information and handle, the data processing module for pair
The dataware processing received, can handle out voice reminder and instruct and be sent in voice reminder module, the voice reminder
Module can broadcast the voice reminder information that data processing module is dealt, and the data analysis module can receive data processing
The face image information and ID card information that module comes out, wanted criminal is stored in the public security database and net escapes the letter of personnel
Data in public security database can be imported into data comparing module by breath, the Police Information import modul, the data ratio
Module is used to that real-time collected information to be compared with the information in public security database, and handles out comparison information transmission
Into comparison information notification module；
The face image acquisition module is made of two groups of cameras, can shoot the mug shot of two passengers, the identity
Authentication module can extract the ID card information of passenger, and the ID card information extracted includes the photo of passenger's identity card, identity
Address information and ID card No. information are demonstrate,proved, the data processing module can be handled the data received, specific to locate
Reason process is as follows；
Step 1: the photo that face image acquisition module takes is extracted, and therefrom chooses the higher Zhang Zuowei of resolution ratio
Comparison source；
Step 2: the photo in source as a comparison is zoomed into preset ratio；
Step 3: by the photo uniform zoom on passenger's identity card to the photograph taken with the face image acquisition module after scaling
The identical size of piece size；
Step 4: being P1 by passenger's photograph tags of captured in real-time, and the identity card picture of passenger is labeled as P2；
Step 5: mark point A1 and point A2 are set by two tail of the eyes in the face on P1；
Step 6: by point A1 and point A2 line, straight line L1 is obtained；
Step 7: emphasis in straight line L1 is labeled as point A3, extends downwardly out straight line L2 from point A3；
Step 8: being labeled as point A4 for the intersection point of straight line L2 and chin, available by point A1 and point A2 respectively at point A4 line
Straight line L3 and straight line L4；
Step 9: mark point B1 and point B2 are set by two tail of the eyes in the face on P2；
Step 10: by point B1 and point B2 line, straight line Z1 is obtained；
Step 11: emphasis in straight line Z1 is labeled as point B3, extends downwardly out straight line Z2 from point B3；
Step 12: the intersection point of straight line Z2 and chin is labeled as point B4, by point B1 and point B2 respectively at point B4 line, can be obtained
To straight line Z3 and straight line Z4；
The number acquisition module is used to acquire the number information before being mounted with the equipment of the system, and can be by collected people
Number information is sent to data processing module.
2. a kind of self-service personnel identity verifying system based on recognition of face according to claim 1, which is characterized in that institute
It is as follows to the treatment process of collected number information to state data processing module:
S1: number information will be collected labeled as Rt；
S2: by it is collected everyone be labeled as a point, be marked as Ki, i=1 ... n；
S3: measure K1 to K2, K2 to K3 ... the distance of Kn-1 to Kn, available Dti, i=1 ... n；
S4: pass through formula Dt1+Dt2+Dt3 ...=Dtn=DtAlways, available total distance value DtAlways；
S5: pass through formula againAverage distance between available each point
S6: when Rt be greater than preset value, andWhen less than preset value, i.e. the first phonetic order of meeting of data processing module is sent to voice
In reminding module；
S7: when Rt be less than preset value, andWhen less than preset value, i.e. the second phonetic order of meeting of data processing module is sent to voice
In reminding module.
3. a kind of self-service personnel identity verifying system based on recognition of face according to claim 2, which is characterized in that institute
The casting content for stating the first phonetic order is that " current device verifying identity passenger is more, and tourist is asked to go to other equipment into identity
Verifying ", the casting content of second phonetic order are that " current device verifying personnel are less, and asking passenger to sequence team not gather around
It squeezes ".
4. a kind of self-service personnel identity verifying system based on recognition of face according to claim 1, which is characterized in that institute
The data that data processing module is handled well can be analyzed by stating data analysis module, and concrete analysis process is as follows:
SS1: pass through formula (L3+L4)/L1=LtThan, available coefficient of correlation LtThan；
SS2: pass through formula (Z3+Z4)/Z1=ZtThan, available coefficient of correlation ZtThan；
SS3: pass through formula Lt againThan- ZtThan=Qt, available Qt, i.e. the difference Qt of coefficient of correlation；
SS4: when | Qt | when being greater than preset value, verifying does not pass through, i.e., the face information acquired in real time and ID card information mismatch；
SS5: as | Qt | when being less than preset value, verifying does not also pass through, i.e., the face information acquired in real time and ID card information are not
Match；
SS6: when | Qt | it when in values, is verified, i.e., the face information acquired in real time is matched with ID card information.
5. a kind of self-service personnel identity verifying system based on recognition of face according to claim 1, which is characterized in that institute
It states and stores wanted criminal in public security database and net escapes the information of personnel, the data comparing module can receive Police Information
Processing can be compared to it after the information for the public security database that import modul imports, it is as follows specifically to compare treatment process；
(1): the information that wanted criminal and net escape personnel is subjected to face characteristic information acquisition in the way of step 4 to step 7
Available straight line V1, V2, V3 and V4；
(2): passing through formula (V3+V4)/V1=VtThan, available wanted criminal and net escape the model coefficient Vt of personnelThan；
(3): passing through formula Zt againThan- VtThan=Mt, i.e., real-time captured identity model of a syndrome coefficient and wanted criminal and net escape the mould of personnel
The difference Mt of type coefficient；
(4): when Mt is greater than preset value, indicating passenger and wanted criminal and net to escape personnel that it fails to match, i.e., do not handle letter of putting up a notice
Breath；
(5): when Mt is less than preset value, indicating passenger and wanted criminal and net to escape personnel that it fails to match, i.e., do not handle letter of putting up a notice
Breath；
(6): as Mt=0, indicating that passenger and wanted criminal and net escape personnel's successful match, that is, handle information of putting up a notice.
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