CN108038948A - Verification method and device, the computer-readable recording medium of passenger identity - Google Patents
Verification method and device, the computer-readable recording medium of passenger identity Download PDFInfo
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- CN108038948A CN108038948A CN201711433623.8A CN201711433623A CN108038948A CN 108038948 A CN108038948 A CN 108038948A CN 201711433623 A CN201711433623 A CN 201711433623A CN 108038948 A CN108038948 A CN 108038948A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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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
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
- G06V40/168—Feature extraction; Face representation
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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
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B11/00—Apparatus for validating or cancelling issued tickets
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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Abstract
The application provides a kind of verification method of passenger identity, can include：The set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that in passenger's set；The target face information of the target passenger got is inputted into face characteristic extraction model to obtain the feature vector of the target face information；Obtained feature vector is inputted into human face recognition model；The human face recognition model can verify that the correspondence of each passenger identification and corresponding certificate feature vector trains to obtain in passenger's set based on this, this can verify that the certificate feature vector of each passenger in passenger's set is changed corresponding certificate photograph information by the face Feature Selection Model and obtained；According to the output result judgement of the human face recognition model, whether target passenger passes through verification.By the technical solution of the application, help to simplify the operation of passenger verification identity, the problem of lifting the efficiency and user experience for verifying identity, improve passenger flow congestion.Meanwhile the accuracy rate of verification passenger identity can be improved.
Description
Technical field
This application involves communication technique field, more particularly to a kind of verification method of passenger identity and device, computer can
Read storage medium.
Background technology
For the consideration to safety problem, it is necessary to carry out the inspection of testimony of a witness uniformity to passenger.For example taking high ferro
When passenger is entered the station, staff needs to verify that the identity of passenger is ridden in person to ensure.In the related art, usually by correlation
Staff manually verifies the identity of passenger；Or photo and the face of captured in real-time on the identity card carried based on passenger
Information is contrasted to verify the identity of the passenger.Passenger is needed to provide identity however, verifying the mode of identity in correlation technique
Demonstrate,prove (showing identity card or the brush identity card on Automatic Fare Gate to staff), cause to verify that the process of identity is cumbersome multiple
It is miscellaneous, inefficiency, and it be easy to cause passenger flow congestion.
The content of the invention
In view of this, the application provides a kind of verification method and device, computer-readable recording medium of passenger identity, can
To simplify the process of verification identity, so as to improve the efficiency of verification identity.
To achieve the above object, it is as follows to provide technical solution by the application：
According to the first aspect of the application, it is proposed that a kind of verification method of passenger identity, including：
The set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that passenger gathers
In；
Obtain target passenger target face information, and by the target face information input face characteristic extraction model with
The feature vector of the target face information is obtained, the face characteristic extraction model is used to face information being converted into accordingly
Feature vector；
Obtained feature vector is inputted into human face recognition model；The human face recognition model can verify that passenger collects described in being based on
The correspondence of each passenger identification and corresponding certificate feature vector trains to obtain in conjunction, and described can verify that respectively multiplies in passenger's set
The certificate feature vector of visitor is changed corresponding certificate photograph information by the face characteristic extraction model and is obtained；
Whether verification is passed through according to target passenger described in the output result judgement of the human face recognition model.
According to the second aspect of the application, it is proposed that a kind of verification device of passenger identity, including：
Division unit, the set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that
In passenger's set；
Acquiring unit, obtains the target face information of target passenger, and the target face information is inputted face characteristic
To obtain the feature vector of the target face information, the face characteristic extraction model is used to turn face information extraction model
Change corresponding feature vector into；
Input unit, human face recognition model is inputted by obtained feature vector；The human face recognition model can based on described in
The correspondence of each passenger identification and corresponding certificate feature vector trains to obtain in verification passenger's set, described to can verify that passenger
The certificate feature vector of each passenger is changed corresponding certificate photograph information by the face characteristic extraction model and is obtained in set；
Whether identifying unit, pass through verification according to target passenger described in the output result judgement of the human face recognition model.
According to the third aspect of the application, it is proposed that a kind of computer-readable recording medium, is stored thereon with computer and refers to
Order, is realized as any one of above-mentioned technical proposal when which is executed by processor the step of method.
By above technical scheme as it can be seen that the application is by by the scene of face recognition application to verification passenger identity, making
Obtaining passenger only needs brush face to complete verification process, produces one's papers without passenger to staff or is scanning setting for certificate
Standby upper brush certificate helps to simplify the operation of passenger verification identity, the efficiency and user's body of lifting verification identity to verify identity
The problem of testing, improving passenger flow congestion.And during verification passenger identity carries out recognition of face, it is only necessary to identify target passenger
Whether by from departure time can verify that in predetermined interval duration, passenger (can verify that passenger is only verification identity in need
Passenger in fraction)；Meanwhile by the way that further machine learning model is applied in above-mentioned recognition of face, can be into one
Step improves the efficiency and accuracy of recognition of face, so as to improve the efficiency of subsequent authentication passenger identity.
Brief description of the drawings
Fig. 1 is the schematic diagram of passenger verification identity in correlation technique.
Fig. 2 is a kind of flow chart of the verification method of passenger identity shown in one exemplary embodiment of the application.
Fig. 3 is the flow chart of the verification method of another passenger identity shown in one exemplary embodiment of the application.
Fig. 4 is the schematic diagram of the passenger verification identity shown in one exemplary embodiment of the application.
Fig. 5 is the structure diagram of a kind of electronic equipment shown in one exemplary embodiment of the application.
Fig. 6 is a kind of block diagram of the verification device of passenger identity shown in one exemplary embodiment of the application.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the application.
It is only merely for the purpose of description specific embodiment in term used in this application, and is not intended to be limiting the application.
It is also intended in the application and " one kind " of singulative used in the attached claims, " described " and "the" including majority
Form, unless context clearly shows that other implications.It is also understood that term "and/or" used herein refers to and wraps
Containing the associated list items purpose of one or more, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, do not departing from
In the case of the application scope, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
In the related art, the face information progress for the photo and captured in real-time on identity card that can be carried based on passenger
Contrast to verify the identity of the passenger.Fig. 1 is referred to, exemplified by the passenger to take high ferro is entered the station：Passenger P1 is when by gate
Need to carry out brush face and brush identity card to verify identity.Specifically, passenger P1 needs identity card 30 being positioned over identity card picture
Scanning area 20 so that gate captured identity card 30 on photo；Meanwhile face's letter of 10 taken of passengers P1 of camera
Breath；The facial information of shooting and the photo collected are contrasted again, decision verification is by the way that (gate is beaten if both match
Open, it is allowed to which passenger P1 enters the station), otherwise decision verification fails (gate remains turned-off, and refusal passenger P1 enters the station).
As it can be seen that in the related art, the step for passenger has to carry out brush identity card when entering the station and carrying out authentication, and
The step of brush identity card, is generally required before passenger rests on gate so that verifies that the process efficiency of identity is low, the volume of the flow of passengers is larger
When be easy to cause passenger flow congestion.
Therefore, the application is improved by way of to verification passenger identity, to solve on present in correlation technique
State technical problem.It is described in detail with reference to embodiment.
Fig. 2 is referred to, Fig. 2 is a kind of flow of the verification method of passenger identity shown in one exemplary embodiment of the application
Figure, this method are applied to identity-validation device, may comprise steps of：
Step 202, the set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that
In passenger's set.
In the present embodiment, the individual passengers that can verify that in passenger's set can be distinguished by passenger identification.Wherein it is possible to
Each passenger is ranked up according to the booking time, using the sequence number of passenger as corresponding mark；Or the name of passenger is made
For corresponding mark；Or using the certificate numbering (such as identification card number) of passenger as corresponding mark；Or by aforesaid way
Combining form as corresponding mark, such as, passenger identification is used as using the combining form of passenger name+identification card number.Certainly,
The application does not limit the concrete form of passenger identification.
It is described can verify that passenger set be used for record current distance set out the moment duration within predetermined interval duration
It can verify that passenger.By taking high ferro as an example, high ferro that passenger of setting out the moment and (can be understood as the moment by bus) i.e. of passenger takes
Set out the moment；It is assumed that during predetermined interval it is a length of 2 it is small when (station can specify that only distance set out the moment the predetermined interval duration it
Interior passenger can just enter the station), then, current distance set out the moment when 2 is small within passenger belong to and can verify that passenger.Than
Such as, current time 8:Setting out for the high ferro A that 00, passenger A take is 9 constantly:The high ferro B's that 30, passenger B take sets out the moment
For 10:30；So passenger A, which belongs to, can verify that passenger, and passenger B is not belonging to can verify that passenger.Certainly, predetermined interval duration is specific
Value can flexibly be set according to actual conditions, and the application is limited not to this.
In one embodiment, it can verify that passenger gathers based on " time " to update, i.e., it is described to can verify that passenger gathers
It is updated according to predetermined period.Determine to correspond to the to be tested of each period specifically, can record previously according to booking
Passenger's set is demonstrate,proved, the initial time that each passenger to be verified gathers the corresponding period is that can verify that passenger's set described in renewal
Moment, and a length of predetermined interval duration during interval；So, divide passenger to can verify that passenger set when, can be first true
Corresponding period at the time of can verify that passenger's set before settled described in renewal, then the period determined is corresponding to be verified
Passenger, which gathers, can verify that passenger gathers described in conduct.As it can be seen that in it can verify that the mode of passenger's set based on " time " renewal, phase
Interval duration between the initial time of adjacent period is to update the cycle that can verify that passenger's set, and updates and can verify that passenger
The predetermined period of set can flexibly be set according to actual conditions, for example could be provided as predetermined period and the dense degree of train number
(for example, when the train number to set out in certain time period is more, renewal in the period can be can verify that passenger gathers in inverse ratio
Predetermined period be arranged to smaller value).For example, it is assumed that setting out for first time high ferro of the same day is 4 constantly in railway station:00,
During predetermined interval it is a length of 2 it is small when, predetermined period 10min；When can so be recorded previously according to the booking of passenger below determining
Between the corresponding passenger to be verified set of section：2:00-4:00；2:10-4:10；2:20-4:20 ... because renewal can verify that passenger
The cycle of set is 10min, so renewal is 2 at the time of can verify that passenger's set:00、2:10、2:20 ... it is such as current when
Carve as 2:10 (at the time of can verify that passenger's set at this time for renewal), then can be by the period 2:10-4:10 is corresponding to be tested
Card passenger, which gathers to be used as, can verify that passenger gathers.Wherein, relative to current time, the passenger to be verified set after predefining
Quantity can flexibly be set according to actual conditions, the application is limited not to this.For example it can set and determine in advance
The passenger to be verified set in adjacent 3 cycles after current time；For example, being undertaken in the example above, can determine in advance 2:
The passenger to be verified set in adjacent 3 cycles after 10, i.e., determine to correspond to the period 2 respectively:20-4:20、2:30-4:30、
2:40-4:40 passenger to be verified set.
In another embodiment, it can verify that passenger gathers based on " event " to update, i.e., it is described to can verify that passenger collects
Conjunction is updated in specific renewable time, and the specific renewable time sets out the moment before the moment of setting out, and apart from this
Predetermined interval duration described in Shi Changwei.Determine to correspond to the to be tested of each period likewise, can record previously according to booking
Passenger's set is demonstrate,proved, the initial time that each passenger to be verified gathers the corresponding period is that can verify that passenger's set described in renewal
Moment, and a length of predetermined interval duration during interval；So, divide passenger to can verify that passenger set when, can be first true
Corresponding period at the time of can verify that passenger's set before settled described in renewal, then the period determined is corresponding to be verified
Passenger, which gathers, can verify that passenger gathers described in conduct.As it can be seen that in it can verify that the mode of passenger's set based on " event " renewal, respectively
The end time of a period is to set out the moment.For example it is assumed that setting out for the same day each high ferro is respectively 4 constantly in railway station:
00、4:15、4:40、5:00 ..., when when predetermined interval a length of 2, is small；It can so record and determine previously according to the booking of passenger
Following period corresponding passenger's set to be verified：2:00-4:00、2:15-4:15、2:40-4:40、3:00-5:00 ... i.e.
(specific renewable time) is respectively 2 at the time of renewal can verify that passenger's set:00、2:15、2:40、3:00 ... it is such as current when
Carve as 2:10, at this time there is no the interior high ferro (i.e. there is no can verify that passenger accordingly) set out when 2 is small, therefore can not be more
It is new to can verify that passenger gathers；Such as current time is 2 again:15, there is the interior high ferro set out when 2 is small at this time and (take the height
The passenger of iron, which belongs to, can verify that passenger), then can be by the period 2:15-4:15 corresponding passengers to be verified, which gather conduct, to be tested
Demonstrate,prove passenger's set.Wherein, relative to current time, the quantity of the passenger to be verified set after predefining can be according to reality
Situation is flexibly set, and the application is limited not to this.For example it can set and determine in advance adjacent 3 after current time
The passenger to be verified set of a period；For example, it is undertaken in the example above, it is assumed that current time 2:00, then can shift to an earlier date
Determine 2:The passenger to be verified set of adjacent 3 periods after 00, i.e., determine to correspond to the period 2 respectively:15-4:15、
2:40-4:40、3:00-5:00 passenger to be verified set.
It can be seen from the above that in the technical solution of the application, it can verify that passenger's set reduces seeking scope by delimiting,
Lookup and the efficiency of the passenger of target face information match can be improved, so as to improve the effect of subsequent authentication passenger identity
Rate.It should be noted that can also real-time update can verify that passenger gathers, rather than by determine in advance passenger to be verified set come
Renewal can verify that passenger gathers.Meanwhile when real-time update can verify that passenger's set, it can delete what is wherein had been verified by
Passenger, so as to further reduce seeking scope.
Step 204, the target face information of target passenger is obtained, and target face information input face characteristic is carried
Modulus type is to obtain the feature vector of the target face information.
Step 206, obtained feature vector is inputted into human face recognition model.
In the present embodiment, based on machine learning model carry out recognition of face mode on small-scale human face data collection
Through that can reach very high accuracy rate, and the application can verify that the mechanism that passenger gathers reduces human face data by configuring
Collection so that the accuracy rate that machine learning model carries out recognition of face can reach the required precision for verifying passenger identity；Therefore, may be used
The verification to passenger identity is realized further to carry out recognition of face by machine learning model.Specifically, can be by described in
Target face information inputs face characteristic extraction model to obtain the feature vector of the target face information, the face characteristic
Extraction model is used to face information being converted into corresponding feature vector；Obtained feature vector is inputted into human face recognition model again
By output passenger corresponding with this feature vector (in the form of passenger identification)；The human face recognition model is based on described can verify that
The correspondence of each passenger identification and corresponding certificate feature vector trains to obtain in passenger's set, described to can verify that passenger gathers
In the certificate feature vector of each passenger corresponding certificate photograph is changed (for example, it may be body by the face characteristic extraction model
Part license piece, can obtain identity card picture by cooperating with public security department) information obtains.It should be noted that due to above-mentioned
Two embodiments (including passenger's set can verify that based on " time " renewal and can verify that passenger gathers two kinds of sides based on " event " renewal
Formula) in can predefine passenger to be verified set corresponding to each period, therefore, predetermined treated corresponding to each
Verify human face recognition model (each passenger and the corresponding certificate feature vector in can gathering based on passenger to be verified of passenger's set
Correspondence trains to obtain) generation can also be trained in advance.The application can verify that passenger gathers diminution and searches model using delimitation
On the basis of enclosing, further identified by face characteristic extraction model and human face recognition model corresponding with target face information
Passenger, can improve recognition efficiency, so as to improve the efficiency of subsequent authentication passenger identity.
Step 208, whether target passenger passes through verification according to the output result judgement of the human face recognition model.
In the present embodiment, when exceeding the passenger of predetermined threshold value comprising confidence level in the output result, it may be determined that should
Passenger is passenger (i.e. target passenger) corresponding with the feature vector of target face information, then illustrates to can verify that in passenger's set
There are target passenger, therefore it can be determined that the target passenger passes through verification.
In the present embodiment, it can also cooperate with associated safety department, introduce blacklist human face data and be used to store crime point
Son etc. threatens the human face data (for example being stored in the form of feature vector) of the personnel of passenger safety.So when with the target
When the certificate photograph information that face information matches belongs to the human face data in default blacklist, safety alert information can be generated
And the safety alert information of generation is exported, to prompt staff to take appropriate measures (for example, being confirmed or being moved by artificial safety check
Hand over public security department's processing).
By above technical scheme as it can be seen that the application is by by the scene of face recognition application to verification passenger identity, making
Obtaining passenger only needs brush face to complete verification process, produces one's papers without passenger to staff or is scanning setting for certificate
Standby upper brush certificate helps to simplify the operation of passenger verification identity, the efficiency and user's body of lifting verification identity to verify identity
The problem of testing, improving passenger flow congestion.Meanwhile during verification passenger identity carries out recognition of face, it is only necessary to identify target
Whether passenger is by from departure time can verify that in predetermined interval duration, passenger (can verify that passenger is only verification in need
Fraction in the passenger of identity)；Meanwhile by the way that further machine learning model is applied in above-mentioned recognition of face, can be with
The efficiency and accuracy of recognition of face are further improved, so as to improve the efficiency of subsequent authentication passenger identity.
In the technical solution of the application, any record has user's booking to record and need to verify the scene of user identity,
Can the auth method of the application be used, and belonged within the protection domain of technical scheme.For the ease of reason
Solution, is below described in detail the technical solution of the application exemplified by the scene of verification identity when the passenger of high ferro is being entered the station.
Fig. 3 is the flow chart of the verification method of another passenger identity shown in one exemplary embodiment of the application, the party
Method is applied to access control equipment (such as gate etc.), may comprise steps of：
Step 302, division can verify that passenger gathers.
In the present embodiment, station can specify that only current distance set out the moment duration within predetermined interval duration
It can verify that passenger can just enter the station and receive authentication.It is possible to marking off one can verify that passenger's set is all for recording
It can verify that passenger, judge whether target passenger belongs to this and can verify that passenger gathers for follow-up.It can verify that and multiply by delimiting out
Visitor, which gathers, to reduce seeking scope, can improve the follow-up efficiency searched with the passenger of target face information match, so as to
To improve the efficiency of verification passenger identity.
Step 304, target face information is obtained.
In the present embodiment, can be by the target face information of the camera collection target passenger configured in access control equipment.
Step 306, feature vector is extracted.
Step 308, human face recognition model is inputted.
In the present embodiment, based on machine learning model carry out recognition of face mode on small-scale human face data collection
Through that can reach very high accuracy rate, and the application can verify that the mechanism that passenger gathers reduces human face data by configuring
Collection so that the accuracy rate that machine learning model carries out recognition of face can reach the required precision for verifying passenger identity；Therefore, may be used
The efficiency of search operation is improved further to carry out recognition of face by machine learning model.Specifically, face can be configured
Feature Selection Model and human face recognition model.Wherein, for face characteristic extraction model, it is trained that magnanimity human face data can be based on
Arrive, for face information is converted into corresponding feature vector.For human face recognition model, can be based on can verify that passenger gathers
In the correspondence of each passenger identification and corresponding certificate feature vector train to obtain, and can verify that each passenger in passenger's set
Certificate feature vector can change corresponding certificate photograph information by face characteristic extraction model and obtain；The human face recognition model can be adopted
With logistic regression, support vector machines scheduling algorithm.Meanwhile for human face recognition model, due to being needed in the technical solution of the application
To be updated to can verify that passenger gathers into Mobile state, so being also required to correspondingly update human face recognition model into Mobile state.Under
Face combines the content that description dynamic renewal can verify that passenger's set, and the mode of dynamic renewal human face recognition model is retouched in detail
State.
In one embodiment, " time " renewal can be based on and can verify that passenger gathers, you can tested according to predetermined period renewal
Demonstrate,prove passenger's set.Determine to gather (respectively corresponding to the passenger to be verified of each period specifically, can record previously according to booking
At the time of the initial time that a passenger to be verified gathers the corresponding period can verify that passenger's set for renewal, and it is a length of during interval
Predetermined interval duration)；Meanwhile the certificate photograph information of passenger in each passenger's set to be verified is obtained, and pass through face characteristic
Certificate photograph information is converted into corresponding feature vector by extraction model, be stored in respective certificate feature vector set with
In the corresponding human face recognition model of training.So, (reach renewal when needing renewal to can verify that passenger's set and can verify that passenger
At the time of set, while also it is at the time of updating human face recognition model), by the passenger to be verified of corresponding period at current time
Set, which is used as, can verify that passenger gathers.Certainly, renewal can verify that the predetermined period of passenger's set can flexibly be set according to actual conditions
Put, the application is limited not to this.For example could be provided as predetermined period and the dense degree of train number is in inverse ratio.For example,
In one case, when the train number to set out in certain time period is more, renewal in the period can be can verify that passenger collects
The predetermined period of conjunction is arranged to smaller value；In another case, when the train number to set out in certain time period is less, can incite somebody to action
Renewal can verify that the predetermined period of passenger's set is arranged to higher value in the period.In addition, relative to current time, it is true in advance
The quantity of passenger to be verified set after fixed can flexibly be set according to actual conditions, and the application is limited not to this.
For example the passenger to be verified set for determining adjacent 3 cycles after current time in advance can be set.
For example, it is assumed that setting out for first time high ferro of the same day is 8 constantly in railway station:00, a length of 2 is small during predetermined interval
When (only current distance set out the moment when 2 is small within passenger belong to can verify that passenger), predetermined period 5min is true in advance
It is scheduled on the passenger to be verified set in adjacent 10 cycles after current time.So, it is 8 at current time:, can be pre- when 00
First definite passenger to be verified set and to train corresponding human face recognition model as shown in table 1：
| Period | Passenger's set to be verified | Human face recognition model |
| 8:05-10:05 | Passenger's set 1 to be verified | Human face recognition model 1 |
| 8:10-10:10 | Passenger's set 2 to be verified | Human face recognition model 2 |
| 8:15-10:15 | Passenger's set 3 to be verified | Human face recognition model 3 |
| …… | …… | …… |
| 8:50-10:50 | Passenger's set 10 to be verified | Human face recognition model 10 |
Table 1
For example, it is 8 at current time:When 15, using passenger to be verified set 3 as can verify that passenger set；Correspondingly, adopt
The feature vector of target face information is identified with human face recognition model 3.It should be noted that in order to improve trained recognition of face
The efficiency of model, can obtain the certificate photograph information of the same day all passengers for taking high ferro in advance, and be carried by face characteristic
The certificate photograph information got is converted into feature vector and is stored in local cache area by modulus type.
In another embodiment, it can verify that passenger gathers based on " event " to update, i.e., in specific renewable time more
New to can verify that passenger gathers, specific renewable time is before the moment of setting out and is separated by when a length of predetermined interval at the moment of setting out
At the time of duration.Determine to gather (respectively corresponding to the passenger to be verified of each period specifically, can record previously according to booking
At the time of the initial time that a passenger to be verified gathers the corresponding period can verify that passenger's set for renewal, and it is a length of during interval
Predetermined interval duration)；Meanwhile the certificate photograph information of passenger in each passenger's set to be verified is obtained, and pass through face characteristic
Certificate photograph information is converted into corresponding feature vector by extraction model, be stored in respective certificate feature vector set with
In the corresponding human face recognition model of training.So, (specific renewable time is reached when needing renewal to can verify that passenger gathers
When, at the same also for renewal human face recognition model at the time of), using the passenger to be verified of corresponding period at current time set as
It can verify that passenger gathers.Wherein, relative to current time, the quantity of the passenger to be verified set after predefining can basis
Actual conditions are flexibly set, and the application is limited not to this.For example it can set and determine the phase after current time in advance
The passenger to be verified set of adjacent 3 periods.
For example, it is assumed that during predetermined interval it is a length of 2 it is small when, determine adjacent 3 periods after current time in advance
Passenger to be verified set, the moment of setting out of same day high ferro is as shown in table 2 in railway station：
| Train number | Set out the moment |
| High ferro a | 10:00 |
| High ferro b | 10:15 |
| High ferro c | 10:25 |
| High ferro d | 10:50 |
| …… | …… |
Table 2
So, it is 8 at current time:When 00, the passenger to be verified that can be generated in advance gathers and trains corresponding people
Face identification model is as shown in table 3：
| Period | Passenger's set to be verified | Human face recognition model |
| 8:15-10:15 | Passenger's set 1 to be verified | Human face recognition model 1 |
| 8:25-10:25 | Passenger's set 2 to be verified | Human face recognition model 2 |
| 8:50-10:50 | Passenger's set 3 to be verified | Human face recognition model 3 |
Table 3
Wherein, specific renewable time is respectively：8:15、8:25、8:50.Such as when the time reaches 8:15 (correspond to the time
Section 8:15-10:15) when, using passenger to be verified set 1 as can verify that passenger set；Correspondingly, using human face recognition model 1
To identify the feature vector of target face information.
In another embodiment, passenger's set and human face recognition model can be can verify that with real-time update, rather than by carrying
It is preceding to determine that passenger's set to be verified can verify that passenger's set and human face recognition model to update.Meanwhile it can verify that in real-time update
When passenger gathers, the passenger wherein having been verified by can be deleted.
Step 310, corresponding passenger is judged whether, if in the presence of being transferred to step 312, be otherwise transferred to step 314.
In the present embodiment, the feature vector input that step 306 obtains can verify that passenger gathers corresponding recognition of face
Model is (i.e. based on the face that can verify that the correspondence of each passenger and corresponding certificate feature vector is trained in passenger's set
Identification model), to determine passenger corresponding with this feature vector, that is, determine passenger corresponding with target face information.When described
Export when exceeding the passenger of predetermined threshold value comprising confidence level in result, it may be determined that the passenger be with the feature of target face information to
Measure corresponding passenger (i.e. target passenger), then illustrate to can verify that in passenger's set there are target passenger, therefore can be determined that institute
State target passenger and pass through verification.Certainly, the specific value of predetermined threshold value can flexibly be set according to actual conditions, and the application is not right
This is limited.
For example, it is assumed that predetermined threshold value 75%, in one case, the output result such as table 4 of human face recognition model
It is shown：
| Passenger | Confidence level |
| Passenger a | 80% |
| Passenger b | 9% |
| Passenger c | 5% |
| Passenger d | 1% |
| …… | …… |
Table 4
Since the confidence level of passenger a has exceeded predetermined threshold value 75%, it may be determined that passenger a is the feature with target face information
The corresponding passenger of vector, that is, it is passenger a to identify target passenger, belongs to and can verify that passenger gathers；So, it can determine that target passenger
Pass through verification.
In another case, it is assumed that the results are shown in Table 5 for the output of human face recognition model：
| Passenger | Confidence level |
| Passenger a | 5% |
| Passenger b | 4% |
| Passenger c | 3% |
| Passenger d | 2.5% |
| …… | …… |
Table 5
Since the confidence level of each passenger in output result is not above predetermined threshold value 75%, it may be determined that human face recognition model
Passenger corresponding with the feature vector of target face information is not identified, i.e. target passenger is not belonging to can verify that passenger collects
Close；So, it can determine that target passenger verification fails.
In the present embodiment, it can also cooperate with associated safety department, introduce blacklist human face data and be used to store crime point
Son etc. threatens the human face data (for example being stored in the form of feature vector) of the personnel of passenger safety.So when with the target
When the certificate photograph information that face information matches belongs to the human face data in default blacklist, safety alert information can be generated
And the safety alert information of generation is exported, to prompt staff to take appropriate measures (for example, being confirmed or being moved by artificial safety check
Hand over public security department's processing).
Step 312, decision verification passes through.
Step 314, decision verification fails.
In the present embodiment, as shown in figure 4, by the technical solution of the application, passenger P1 is only needed when by gate
Receive the lower facial information of the shooting of camera 10, without performing the operation of brush certificate, so as to simplify passenger verification identity
Operation, be conducive to lifting verification identity efficiency and user experience, improve passenger flow congestion the problem of.
In the technical solution of the application, it is contemplated that because the shooting time of the certificate photograph of part passenger is more remote, lead
Cause photo and my actual facial information not to be consistent the problem of authentication failed, manual verification's passage can be gone to prompt passengers
Complete the verification of identity.
By above technical scheme as it can be seen that the application is by by the scene of face recognition application to verification passenger identity, making
Obtaining passenger only needs brush face to complete verification process, produces one's papers without passenger to staff or is scanning setting for certificate
Standby upper brush certificate helps to simplify the operation of passenger verification identity, the efficiency and user's body of lifting verification identity to verify identity
The problem of testing, improving passenger flow congestion.Meanwhile during verification passenger identity carries out recognition of face, it is only necessary to identify target
Whether passenger is by from departure time can verify that in predetermined interval duration, passenger (can verify that passenger is only verification in need
Fraction in the passenger of identity)；Meanwhile by the way that further machine learning model is applied in above-mentioned recognition of face, can be with
The efficiency and accuracy of recognition of face are further improved, so as to improve the efficiency of subsequent authentication passenger identity.
Fig. 5 shows the structure diagram of the electronic equipment of the exemplary embodiment according to the application.It refer to Fig. 5,
In hardware view, which includes processor 502, internal bus 504, network interface 506, memory 508 and non-volatile
Property memory 510, is also possible that the required hardware of other business certainly.Processor 502 is from nonvolatile memory 510
Corresponding computer program is read into memory 508 and then is run, the verification device of passenger identity is formed on logic level.When
So, in addition to software realization mode, the application is not precluded from other implementations, such as logical device or software and hardware combining
Mode etc., that is to say, that the executive agent of following process flow is not limited to each logic unit or hardware
Or logical device.
Fig. 6 is refer to, in Software Implementation, the verification device of the passenger identity can include division unit 601, obtain
Take unit 602, input unit 603 and identifying unit 604.Wherein：
Division unit 601, current distance is set out, and be divided to can by the passenger of the duration within predetermined interval duration at moment
Verify in passenger's set；
Acquiring unit 602, obtains the target face information of target passenger, and target face information input face is special
To obtain the feature vector of the target face information, the face characteristic extraction model is used for face information sign extraction model
It is converted into corresponding feature vector；
Input unit 603, human face recognition model is inputted by obtained feature vector；The human face recognition model is based on described
It can verify that the correspondence of each passenger identification and corresponding certificate feature vector trains to obtain in passenger's set, described can verify that multiplies
The certificate feature vector of each passenger is changed corresponding certificate photograph information by the face characteristic extraction model and is obtained in visitor's set；
Identifying unit 604, according to target passenger described in the output result judgement of the human face recognition model whether by testing
Card.
Optionally, it is described to can verify that passenger's set is updated according to predetermined period.
Optionally, described to can verify that passenger is integrated into specific renewable time and is updated, the specific renewable time exists
Set out before the moment, and apart from when a length of predetermined interval duration at the moment of setting out.
Optionally,
Further include：Determination unit 605, determines to collect corresponding to the passenger to be verified of each period previously according to booking record
Close, at the time of each passenger to be verified gathers the initial time of corresponding period to can verify that passenger's set described in renewal, and
A length of predetermined interval duration during interval；
The division unit 601 is specifically used for：When determining to can verify that corresponding at the time of passenger's set described in current renewal
Between section；The period determined corresponding passenger's set to be verified can verify that passenger gathers as described in.
Optionally, the identifying unit is specifically used for：
When exceeding the passenger of predetermined threshold value comprising confidence level in the output result, judge the target passenger by testing
Card.
Optionally, further include：
Generation unit 606, when the certificate photograph information with the target face information match belongs in default blacklist
Human face data when, generate safety alert information；
Output unit 607, exports the safety alert information of generation.
The function of unit and effect realizes that process specifically refers to step is corresponded in the above method in above device
Realize process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related part is real referring to method
Apply the part explanation of example.Device embodiment described above is only schematical, wherein described be used as separating component
The unit of explanation may or may not be physically separate, can be as the component that unit is shown or can also
It is not physical location, you can with positioned at a place, or can also be distributed in multiple network unit.Can be according to reality
Need to select some or all of module therein to realize the purpose of application scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as including the memory of instruction, above-metioned instruction can be performed to complete the above method by the processor of the verification device of passenger identity,
This method can include：
The set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that passenger gathers
In；
Obtain target passenger target face information, and by the target face information input face characteristic extraction model with
The feature vector of the target face information is obtained, the face characteristic extraction model is used to face information being converted into accordingly
Feature vector；
Obtained feature vector is inputted into human face recognition model；The human face recognition model can verify that passenger collects described in being based on
The correspondence of each passenger identification and corresponding certificate feature vector trains to obtain in conjunction, and described can verify that respectively multiplies in passenger's set
The certificate feature vector of visitor is changed corresponding certificate photograph information by the face characteristic extraction model and is obtained；
Whether verification is passed through according to target passenger described in the output result judgement of the human face recognition model.
Optionally, it is described to can verify that passenger's set is updated according to predetermined period.
Optionally, described to can verify that passenger is integrated into specific renewable time and is updated, the specific renewable time exists
Set out before the moment, and apart from when a length of predetermined interval duration at the moment of setting out.
Optionally,
Further include：Determine to gather corresponding to the passenger to be verified of each period previously according to booking record, it is each to be tested
At the time of the initial time of passenger's set corresponding period is demonstrate,proved to can verify that passenger's set described in renewal, and a length of institute during interval
State predetermined interval duration；
It is described that the set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that passenger
In set, including：Corresponding period at the time of determining to can verify that passenger's set described in current renewal；The period that will be determined
Corresponding passenger to be verified, which gathers, can verify that passenger gathers described in conduct.
Optionally, whether target passenger described in the output result judgement according to the human face recognition model is by testing
Card, including：
When exceeding the passenger of predetermined threshold value comprising confidence level in the output result, judge the target passenger by testing
Card.
Optionally, further include：
When the certificate photograph information with the target face information match belongs to the human face data in default blacklist,
Generate safety alert information；
Export the safety alert information of generation.
Wherein, the non-transitorycomputer readable storage medium can be ROM, random access memory (RAM), CD-
ROM, tape, floppy disk and optical data storage devices etc., the application is limited not to this.
The foregoing is merely the preferred embodiment of the application, not limiting the application, all essences in the application
God and any modification, equivalent substitution, improvement and etc. within principle, done, should be included within the scope of the application protection.
Claims (13)
- A kind of 1. verification method of passenger identity, it is characterised in that including：The set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that in passenger's set；The target face information of target passenger is obtained, and the target face information is inputted into face characteristic extraction model to obtain The feature vector of the target face information, the face characteristic extraction model are used to face information being converted into corresponding feature Vector；Obtained feature vector is inputted into human face recognition model；The human face recognition model is based on described can verify that in passenger's set The correspondence of each passenger identification and corresponding certificate feature vector trains to obtain, described to can verify that each passenger in passenger's set Certificate feature vector is changed corresponding certificate photograph information by the face characteristic extraction model and is obtained；Whether verification is passed through according to target passenger described in the output result judgement of the human face recognition model.
- 2. according to the method described in claim 1, it is characterized in that, described can verify that passenger's set is carried out according to predetermined period Renewal.
- 3. according to the method described in claim 1, it is characterized in that, it is described can verify that passenger be integrated into specific renewable time by into Row renewal, the specific renewable time before the moment of setting out, and apart from the moment of setting out when a length of predetermined interval when It is long.
- 4. according to the method in claim 2 or 3, it is characterised in thatFurther include：Determine to gather corresponding to the passenger to be verified of each period previously according to booking record, it is each to be verified to multiply At the time of the objective initial time for gathering the corresponding period is can verify that passenger's set described in renewal, and it is a length of described pre- during interval If it is spaced duration；It is described that the set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that passenger gathers In, including：Corresponding period at the time of determining to can verify that passenger's set described in current renewal；The period determined is corresponded to Passenger to be verified gather be used as described in can verify that passenger gather.
- 5. according to the method described in claim 1, it is characterized in that, the output result according to the human face recognition model is sentenced Whether the target passenger is determined by verification, including：When exceeding the passenger of predetermined threshold value comprising confidence level in the output result, judge that the target passenger passes through verification.
- 6. according to the method described in claim 1, it is characterized in that, further include：When the certificate photograph information with the target face information match belongs to the human face data in default blacklist, generation Safety alert information；Export the safety alert information of generation.
- A kind of 7. verification device of passenger identity, it is characterised in that including：Division unit, the set out passenger of the duration within predetermined interval duration at moment of current distance is divided to and can verify that passenger In set；Acquiring unit, obtains the target face information of target passenger, and target face information input face characteristic is extracted To obtain the feature vector of the target face information, the face characteristic extraction model is used to face information being converted into model Corresponding feature vector；Input unit, human face recognition model is inputted by obtained feature vector；The human face recognition model is based on described can verify that The correspondence of each passenger and corresponding certificate feature vector trains to obtain in passenger's set, described to can verify that in passenger's set respectively The certificate feature vector of passenger identification is changed corresponding certificate photograph information by the face characteristic extraction model and is obtained；Whether identifying unit, pass through verification according to target passenger described in the output result judgement of the human face recognition model.
- 8. device according to claim 7, it is characterised in that described to can verify that passenger's set is carried out according to predetermined period Renewal.
- 9. device according to claim 7, it is characterised in that it is described can verify that passenger be integrated into specific renewable time by into Row renewal, the specific renewable time before the moment of setting out, and apart from the moment of setting out when a length of predetermined interval when It is long.
- 10. device according to claim 8 or claim 9, it is characterised in thatFurther include：Determination unit, determines to gather corresponding to the passenger to be verified of each period previously according to booking record, each At the time of passenger to be verified gathers the initial time of corresponding period to can verify that passenger's set described in renewal, and it is spaced duration For the predetermined interval duration；The division unit is specifically used for：Corresponding period at the time of determining to can verify that passenger's set described in current renewal；Will The period corresponding passenger to be verified determined, which gathers, can verify that passenger gathers described in conduct.
- 11. device according to claim 7, it is characterised in that the identifying unit is specifically used for：When exceeding the passenger of predetermined threshold value comprising confidence level in the output result, judge that the target passenger passes through verification.
- 12. device according to claim 7, it is characterised in that further include：Generation unit, when the certificate photograph information with the target face information match belongs to the face number in default blacklist According to when, generate safety alert information；Output unit, exports the safety alert information of generation.
- 13. a kind of computer-readable recording medium, is stored thereon with computer instruction, it is characterised in that the instruction is by processor Realized during execution as any one of claim 1-6 the step of method.
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| CN108765662A (en) * | 2018-05-30 | 2018-11-06 | 中海云智慧（北京）物联网科技有限公司 | Security system authorization method is obtained based on intelligence learning |
| CN108765660A (en) * | 2018-05-30 | 2018-11-06 | 中海云智慧（北京）物联网科技有限公司 | Security system authorization method is obtained based on associated AP P |
| CN108846694A (en) * | 2018-06-06 | 2018-11-20 | 厦门集微科技有限公司 | A kind of elevator card put-on method and device, computer readable storage medium |
| CN109034048A (en) * | 2018-07-20 | 2018-12-18 | 苏州中德宏泰电子科技股份有限公司 | Face recognition algorithms models switching method and apparatus |
| CN109376735A (en) * | 2018-08-31 | 2019-02-22 | 百度在线网络技术（北京）有限公司 | Identity information extracting method, device, electronic equipment and storage medium |
| CN109671163A (en) * | 2018-12-26 | 2019-04-23 | 黄梅萌萌 | Ticket management mechanism and corresponding terminal based on grade analysis |
| CN109671163B (en) * | 2018-12-26 | 2020-05-29 | 黄梅萌萌 | Ticket management mechanism based on grade analysis and corresponding terminal |
| CN111126158A (en) * | 2019-11-27 | 2020-05-08 | 中铁程科技有限责任公司 | Automatic ticket checking method, device and system based on face recognition |
| CN111260837A (en) * | 2020-01-16 | 2020-06-09 | 广州康行信息技术有限公司 | Access control permission invitation method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112288932A (en) | 2021-01-29 |
| CN108038948B (en) | 2020-12-08 |
| CN112288932B (en) | 2022-11-25 |
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