CN113450117A - Face recognition method, device, equipment and medium - Google Patents
Face recognition method, device, equipment and medium Download PDFInfo
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- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
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Abstract
The embodiment of the invention provides a face recognition method, a face recognition device, face recognition equipment and a face recognition medium, wherein the face recognition method comprises the following steps: acquiring an actual face image of a passenger in a target area; determining whether the actual face image is matched with a face image in a pre-created target face image database; and when the actual face image is matched with the face image in the target face image database, determining that the passenger passes the verification of the face image. In the embodiment of the invention, when the actual face image is matched with the face image in the target face image database, the passenger is determined to pass the face image verification, the verification process is simple, convenient and quick, and the problem of time waste caused by complicated operation in a payment system can be solved.
Description
Technical Field
The invention relates to the technical field of payment, in particular to a face recognition method, a face recognition device, face recognition equipment and a face recognition medium.
Background
At present, subway payment modes mainly comprise traditional on-site ticket buying, value card payment and the like.
The on-site ticket buying is mainly realized by that a user purchases tickets on a ticket vending machine of a subway station through cash or a bank card, the mode has higher equipment investment, the equipment manufacturing process is complex, and certain turnover funds are needed. Secondly, the regular upgrade and maintenance of the system also need to consume a certain amount of workload, resulting in complex operation management. And this mode must be accomplished in the subway station, and the operation flow is loaded down with trivial details, and the ticket buying can cause personnel to be detained in a large number in rush hour queuing, causes the waste to time and energy.
The payment of the stored value card means that a user firstly purchases and charges the stored value card, and then the user can directly swipe the stored value card to pass through a gate to take a subway. Compared with a field ticket buying mode, a large amount of queuing ticket buying time and a complicated operation flow are saved. But if the card is lost, the card holder can be lost economically.
Therefore, a new face recognition method, apparatus, device and medium are needed.
Disclosure of Invention
The embodiment of the invention provides a face recognition method, a face recognition device, face recognition equipment and a face recognition medium, and aims to solve the problem of time waste caused by complex operation in a payment system.
In one aspect, an embodiment of the present invention provides a subway face verification method, including:
acquiring an actual face image of a passenger in a target area;
determining whether the actual face image is matched with a face image in a pre-created target face image database;
and when the actual face image is matched with the face image in the target face image database, determining that the passenger passes the verification of the face image.
According to an embodiment of an aspect of the present invention, before determining whether the face image matches with a face image in a pre-created target face image database, the method further includes:
creating a user track model according to historical users taking the subway, wherein the user track model comprises historical station entering and exiting time of the users and second address information of the stations entering and exiting;
determining a prediction user group of a target area according to the track model;
the target face image database includes a second face image of the predicted user group.
According to one aspect of the present invention, in any of the foregoing embodiments, before determining whether the face image matches a face image in a pre-created target face image database, the method further includes:
acquiring first address information of user equipment;
determining whether the user equipment is located in a target area according to the first address information;
and when the user equipment is in the target area, putting a first face image corresponding to the user equipment into the target face image database.
According to one aspect of the present invention, before placing the first face image corresponding to the user device into the face image database when the user device is in the target area, the method further includes:
acquiring registration information of user equipment, wherein the registration information comprises a first face image and a payment account;
the registration information of the user equipment is put into a face image data base;
placing the first face image corresponding to the user device into the target face image database further comprises:
and calling a first face image corresponding to the user equipment from the face image data base, and putting the first face image corresponding to the user equipment into the target face image data base.
According to one aspect of the present invention, in any of the previous embodiments, after determining that the passenger passes the verification of the face image, the method further comprises: and paying the riding fee by using a payment account corresponding to the actual face image according to the registration information.
According to an aspect of the present invention, in any of the foregoing embodiments, acquiring first address information of a user equipment includes:
acquiring a communication signaling of user equipment;
first address information is determined from the communication signaling.
According to an aspect of the present invention, in any of the preceding embodiments, the communication signaling includes at least one of data sending and receiving signaling, sending and receiving information signaling, and voice communication signaling;
and/or the communication signaling comprises at least one of an international mobile subscriber identification number, a mobile station identification number, a location code, a cell number, a timestamp, and an event type.
According to an aspect of the present invention, in any of the foregoing embodiments, after acquiring the communication signaling of the user equipment, the method further includes:
eliminating incomplete or lost invalid information recorded in the communication signaling to obtain an effective communication signaling;
determining first address information according to the communication signaling, comprising:
first address information is determined based on the active communication signaling.
According to one aspect of the present invention, in any one of the preceding embodiments, the target area includes a communication cell in which a current subway station is located.
According to one aspect of the present invention, in any one of the foregoing embodiments, the target area includes a communication cell where the current subway station is located and a communication cell adjacent to the current subway station.
On the other hand, an embodiment of the present invention further provides a subway face verification apparatus, including: the acquisition module is used for acquiring the actual face image of the passenger in the target area; the judging module is used for determining whether the actual face image is matched with the face image in the pre-created target face image database; and the determining module is used for determining that the passenger passes the verification of the face image when the actual face image is matched with the face image in the target face image database.
In still another aspect, an embodiment of the present invention further provides a subway face verification apparatus, which includes a processor, a memory, and a computer program stored on the memory and executable on the processor, where the computer program, when executed by the processor, implements the steps of the subway face verification method as described above.
In still another aspect, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the steps of the subway face verification method as described above.
In the face verification method of the embodiment of the invention, the actual face image of the target area is firstly obtained, then the obtained actual face image is matched with the face image in the pre-established target face image database, when the actual face image is matched with the face image in the target face image database, a passenger is determined to pass the face image verification, the verification process is simple, convenient and quick, and the problem of time waste caused by complicated operation in a payment system can be solved.
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Other features, objects and advantages of the invention will become apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings in which like or similar reference characters refer to the same or similar parts.
Fig. 1 is a schematic flow chart of a subway face verification method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a subway face authentication method according to another embodiment of the present invention;
fig. 3 is a flowchart illustrating a subway face authentication method according to another embodiment of the present invention;
fig. 4 is a flowchart illustrating a subway face authentication method according to yet another embodiment of the present invention;
fig. 5 is a flowchart illustrating a subway face verification method according to yet another embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention. In the drawings and the following description, at least some well-known structures and techniques have not been shown in detail in order to avoid unnecessarily obscuring the present invention; also, the dimensions of some of the structures may be exaggerated for clarity. Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In the description of the present invention, it is to be noted that, unless otherwise specified, "a plurality" means two or more; the terms "upper," "lower," "left," "right," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated for convenience in describing the invention and to simplify description, but do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention. Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The directional terms appearing in the following description are intended to be illustrative in all directions, and are not intended to limit the specific construction of embodiments of the present invention. In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "mounted" and "connected" are to be interpreted broadly, e.g., as either a fixed connection, a removable connection, or an integral connection; can be directly connected or indirectly connected. The specific meaning of the above terms in the present invention can be understood as appropriate to those of ordinary skill in the art.
In recent years, with the acceleration of urbanization, the demand of society for urban traffic has been increasing. The public transport is an important component in an urban traffic operation system, and has the advantages of intensive high efficiency, energy conservation, environmental protection and the like. The establishment of an efficient, convenient and diversified public transportation payment mode is an important guarantee for perfecting and improving urban public transportation.
The subway becomes the first choice for the daily commute and life of most people due to the advantages of convenience, high efficiency, safety and the like. Traditional subway payment methods include on-site ticket purchase and stored value card payment. In order to comply with the development trend of the mobile era, many cities vigorously develop the application of mobile payment in subways. At present, the main modes of subway mobile payment are two-dimensional code payment and NFC payment. Both the traditional mode and the emerging mobile payment mode have the conditions of long time consumption, complex operation process, poor user experience and the like, so that a large amount of congestion of subway stations is caused, and the subway operation capacity is reduced.
At present, subway payment modes mainly comprise traditional on-site ticket buying, value card payment and emerging mobile phone payment. The mobile payment of the mobile phone comprises two-dimension code payment and NFC payment. However, the existing payment methods have some problems.
The on-site ticket buying is that a user purchases tickets on a ticket vending machine of a subway station through cash or a bank card, and the mode has higher equipment investment, complex equipment manufacturing process and needs certain turnover funds. Secondly, regular upgrade and maintenance of the system may require a certain amount of work, resulting in complex operation management. The mode needs to be completed in a subway station, the operation flow is complicated, and a large amount of personnel can be detained due to queuing for ticket buying in rush hours, so that the waste of time and energy is caused.
The stored value card payment is implemented by charging first and then using, and the user can directly swipe the card and pass through a gate to take a subway. Compared with a field ticket buying mode, a large amount of queuing ticket buying time and a complicated operation flow are saved. But if the card is lost, the card holder can be lost economically.
The two-dimension code payment is that passengers scan the encrypted two-dimension code generated by a specific APP at the gate of the subway, and the encrypted two-dimension code is released after the system is subjected to security certification and conforms to the passing standard. But this approach is limited by the condition of the network signals in the subway station and risks information leakage.
NFC (near field communication), namely a near field communication technology, is adopted, and a user uses a mobile phone with an NFC function, so that the payment mode is the same as that of a stored value card. But is limited by hardware requirements and has great difficulty in large-area use.
Through research and research for twenty years, the face recognition technology is continuously improved, and particularly, the face recognition technology is rapidly developed in the payment field. The human face recognition is a biological recognition technology for identity recognition based on the facial feature information of people, the uniqueness and the good characteristic of being not easy to copy provide necessary premise for identity authentication, and the non-mandatory, non-contact and concurrency of the human face recognition offer the advantages of no sense, high efficiency and wide application when the human face recognition is used for payment. Therefore, there is a trend to perform mobile payment using face recognition instead of a mobile phone and various function cards.
Mobile payment based on face recognition can improve the inbound and outbound time of passengers in the subway payment application process, promotes the operation ability of subway, can also make the noninductive payment experience simultaneously. However, in cities with larger scales, the daily average passenger flow of a subway station can reach millions or even tens of millions, and when the face features are used for recognition, the matching operation of the image features usually adopts a 1: N search algorithm, that is, the images which are completely matched with the face data of the current user are searched in a face image database N one by one.
In order to reduce the size of a human face image database N, the user is required to input the whole mobile phone number or the last four mobile phone numbers in many times, so that the size of a user search library is reduced. The complicated operation mode not only consumes long time and influences user experience, but also causes massive congestion in the subway station. Aiming at the defects of the existing payment mode and technology, the invention provides a subway face recognition payment method based on operator communication signaling, which aims to solve the problems that in the ticket checking process, a passenger uses a ticket card or a mobile phone gate swiping machine to check tickets, the time consumption is long, the operation is complex, the traditional face recognition information interaction safety is low, the time consumption is long, the accuracy is low, the user experience is poor, and the like.
For better understanding of the present invention, a face recognition method, an apparatus, a device and a medium according to embodiments of the present invention are described in detail below with reference to fig. 1 to 5.
Fig. 1 is a flowchart of a subway face verification method provided in an embodiment of the present invention, including:
step S101: and acquiring the actual face image of the passenger in the target area.
Step S102: and determining whether the actual face image is matched with the face image in the pre-created target face image database.
Step S103: and when the actual face image is matched with the face image in the target face image database, determining that the passenger passes the verification of the face image.
In the face verification method of the embodiment of the invention, the actual face image of the target area is firstly obtained, then the obtained actual face image is matched with the face image in the pre-established target face image database, when the actual face image is matched with the face image in the target face image database, a passenger is determined to pass the face image verification, the verification process is simple, convenient and quick, and the problem of time waste caused by complicated operation in a payment system can be solved.
The target area is, for example, a subway station where the passenger is currently located. Or the target area comprises a communication cell where the current subway station is located. Or the target area comprises a communication cell where the current subway station is located and a communication cell adjacent to the current subway station.
There are various methods for creating the target face database, and in some alternative embodiments, step S102 further includes:
step S201: first address information of a user equipment is acquired.
Step S202: and determining whether the user equipment is located in the target area according to the first address information.
Step S203: and when the user equipment is in the target area, putting a first face image corresponding to the user equipment into the target face image database.
In these optional embodiments, by acquiring first address information of the user equipment, according to the first address information, when the user equipment is located in the target area, the first face image corresponding to the user equipment is placed in the target face image database. Namely, the target face database contains the first face image corresponding to the user equipment in the target area, so that the storage capacity of the target face database can be greatly reduced, and the efficiency of the matching process is improved.
The user equipment is, for example, a mobile terminal such as a mobile phone, a notebook computer, a tablet computer, a smart watch, and a smart learning machine, which is not limited herein.
There are various correspondences between the user equipment and the first face image, and in some optional embodiments, step S203 further includes:
step S301: and acquiring registration information of the user equipment, wherein the registration information comprises a first face image and a payment account.
Step S302: and putting the registration information of the user equipment into a face image data base.
Step S203 now includes: and calling a first face image corresponding to the user equipment from the face image data base, and putting the first face image corresponding to the user equipment into the target face image data base.
In these alternative embodiments, the passenger first registers with the user device to form registration information, where the registration information includes a first face image and a payment account, and after the user registers, the first face image formed by registration is placed in the face image data base, in step S203, the first face image corresponding to the user device is directly retrieved from the face image data base, and the first face image corresponding to the user device is placed in the target face image database. When having obtained first face image, can also obtain the payment account that corresponds with first face image to through the direct payment subway ticket of payment account, can further improve the business turn over station efficiency of subway.
There are various setting manners of step S201, and in some optional embodiments, step S201 includes: acquiring a communication signaling of user equipment; first address information is determined from the communication signaling.
In these alternative embodiments, when the user equipment and the communication base station send the communication signaling, the communication signaling is acquired, and the first address information is determined according to the communication signaling. So that the first address information of the user can be obtained in time.
Further, in some preferred embodiments, after the communication signaling of the user equipment is acquired, the incomplete or lost invalid information recorded in the communication signaling is removed to obtain a valid communication signaling, where step S201 includes: first address information is determined based on the active communication signaling.
The type of communication signaling is various, for example, the communication signaling includes at least one of data receiving and sending signaling, sending and receiving information signaling, and voice communication signaling.
The communication signaling may include various data types, for example, the communication signaling includes at least one of an International Mobile Subscriber Identity (IMSI), a Mobile Station Identity (MSID), a location code, a cell Number, a timestamp, and an event type.
In some optional embodiments, step S102 further includes, before:
step S401: and creating a user track model according to the historical users taking the subway, wherein the user track model comprises the historical time of the users entering and exiting the station and the second address information of the users entering and exiting the station.
Step S402: and determining a predicted user group of the current site according to the trajectory model.
Step S403: the target face image database includes a second face image of the predicted user group.
In the optional embodiments, a track model is further constructed according to historical riding data of passengers, a predicted user group is deduced according to the track model, the target face image database comprises a second face image of the predicted user group, the range included by the target face image database can be reasonably expanded, and the success rate of matching results is improved.
The second embodiment of the present invention also provides a subway face verification apparatus, including: the acquisition module is used for acquiring a face image of a passenger at a current station; the judging module is used for determining whether the face image is matched with a pre-established target face image database; and the determining module is used for determining that the user passes the verification of the face image when the face image is matched with the target face image database.
The first embodiment of the present invention is illustrated below by taking fig. 5 as an example, and as shown in fig. 5, the face recognition method includes:
step S1: a new user enters a registration management module through a mobile terminal, uploads personal facial feature information and binds with a terminal mobile phone number and a payment account one by one; the face information of the registered user then enters a face image data base in the system.
The new user is registered through the user equipment, and registration information is formed, wherein the registration information comprises a first face image and a payment account, and the corresponding relation between the first face image and the payment account. The face image data base includes registration information of the user device.
Step S2: identifying all registered mobile phone terminal users entering a preset subway cell A through mobile phone communication signaling, and listing face information acquired by the registered users in advance into a local real-time face database N of the subway cellA。
The first address information of the user equipment is determined through the communication signaling, and according to the first address information, when the user equipment is positioned in a target area, a first face image corresponding to the user equipment is placed in a target face image database NA。
Step S3: when passengers need to take the subway and arrive at the gate, the face recognition equipment equipped on the gate recognizes the facial features of the passengers and compares the facial features with the local real-time face database NAAnd matching and comparing the face images, if the matching is successful, allowing the passengers to get in the subway, otherwise, allowing the passengers not to get in the subway through face recognition.
The passenger verification method comprises the steps of obtaining an actual face image of a passenger in a target area, and determining that the passenger passes the verification of the face image when the actual face image is matched with the face image in a target face image database. The gate is opened, allowing the passenger to take a subway for close combat. Otherwise, the passenger can not get into the station through the face recognition.
Step S4: when the passenger gets off the bus at the destination station, all the notes are identified through the mobile phone communication signalingRegistered mobile phone terminal users and face information collected by registered users in advance are listed in a local real-time face database N of the subway cell BB。
Step S5: when the passenger leaves the station, the gate terminal of leaving the station identifies the facial features of the passenger again, and the facial features of the passenger are compared with the local real-time human face database N of the subway cell BBAnd if the matching is successful, the recognition is passed, the background system deducts corresponding amount of money in a face payment account through the passenger in-and-out station record, the face recognition payment is completed, and the passenger is out of the station.
In the above steps, the mobile phone in standby state keeps contact with the mobile phone communication network through the base station, and the communication network records the triggered communication signaling, and the communication signaling includes the IMSI of the differentiated user, the time of the action, the number of the location area where the action occurs, the number of the connected cellular sector, and the like. The subway station located on the ground shares signals with a ground common base station, and the subway station located underground shares signals with a microcellular base station arranged in the station. When a user is in a certain subway communication cell, the base station signal of the corresponding station can be received, and the position tracking of the subway station of the user can be realized.
For example, according to the previously divided and acquired subway station and surrounding cell list information, applying a cell mobile communication terminal sensing device (including but not limited to a base station system, a D2D terminal, a gate access), identifying and accurately reading the corresponding ID (including but not limited to IMSI number and other ID capable of identifying user identity) of the user identity identification card of the mobile communication terminal of the subway cell (inside and around the subway station) in a short time, thereby screening the face database of the passenger with the highest probability of payment, and assembling the face database into a local real-time face database NAOr NBMaking it queried preferentially; therefore, the matching calculation amount is greatly reduced, the time for passengers to pass through the gate is shortened, and the passing rate and the accuracy rate of face recognition payment in the subway scene with dense pedestrian flow are ensured.
NAOr NBThe database of (2) is more than the source of the database, and the query of the subway station for the station-entering user mainly needs to be identifiedThe user cluster is a local real-time face database, and the database identifies users based on mobile phone signaling of an operator and is divided into a real-time inbound user group and a predicted user group. Real-time inbound subscriber group identification is mainly signaled through real-time S1MME (part of the data delay will affect the response of the paying subscribers). The NA or NB further includes a second face image of the predicted user group. In the prediction user group, a user track model from a residence place to a subway station is established according to users who take a subway every day, users who are ready to take the subway are searched by adopting a model-based collaborative filtering method, and the time for the users to prepare for payment is predicted according to the user track model and the payment time.
Fig. 5 is a flow chart of face recognition payment for subway passengers according to the present invention, and the following explains the steps of passenger recognition by key mobile phone communication signaling in detail.
Firstly, in the invention, the communication signaling for acquiring the user plane terminal is introduced, and the communication signaling comprises data receiving and sending signaling, information sending and receiving signaling and voice communication signaling. According to the theory of mobile communication, the invention mainly obtains the mobile phone communication signaling through a mobile phone signaling collection system of a mobile operator, and mainly collects the mobile phone communication signaling in one day. These data include: IMSI, IMSI anonymous MSID, location code, cell number, timestamp, and event type. And after the data are collected, preprocessing is carried out according to different dimensionality requirements, and invalid information and missing data in the original mobile phone communication signaling are removed. The invalid information refers to information that the passenger mobile phone communication signaling record is incomplete or lost due to instability of a wireless communication network and the like.
As shown in fig. 5, a user needs to register on a mobile terminal and bind a personal mobile phone number with a human face. When a user enters a cell near a subway station, the user is identified based on a mobile phone communication signaling, and then the user who enters the subway station and has been subjected to face binding in the prior art is listed in a local real-time face database of the subway station.
And then, regarding the preset information of the cell list near the subway station, when the user passes the check gate, the obtained communication signaling of the user plane terminal is matched with the cell list near the subway station, and the communication signaling of all the user terminals in the area is found out. Different base stations can be set up in the configured cells, the distribution information of the cells can be configured according to the actual geographic position of the subway station, the cells can also form a subway station cell list, and the attributes comprise IP addresses, position information, numbers and the like. If the acquired communication signaling is from the cell list, the user terminals from the cell list will be potential passenger user terminals.
And finally, through comparison of the local real-time face database of the subway station with the real-person face identification of the user, whether the current user is a subway passenger with a face-brushing payment account or not is identified, and the passenger can pay in a face identification mode when passing through a gate of the subway station. Therefore, the invention solves the problems that the prior face recognition payment technology has low passing rate and cannot be applied to subway scenes with large-scale face search libraries, and provides the face recognition payment method for recognizing potential passengers in the subway station based on the mobile phone communication signaling.
According to the scheme, the user set with the highest possibility of payment to be paid is screened out in advance through a mobile phone signaling acquisition system of a mobile operator and is collected into a local real-time face database N, so that an image library needing comparison in the face recognition process is greatly reduced, and the passing rate and the accuracy rate of face recognition payment in a subway scene with dense pedestrian flow are guaranteed. Compared with the existing subway payment mode, the scheme has the advantages of higher efficiency, convenience, safety and wide application. Meanwhile, the scheme really realizes the non-inductive payment of the subway and greatly improves the user experience.
The third embodiment of the present invention further provides a subway face authentication device, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements the steps of the subway face authentication method according to any one of the first embodiments.
The fourth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the subway face verification method according to any one of the first embodiments.
While the application has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the application. In particular, the technical features mentioned in the embodiments can be combined in any way as long as there is no structural conflict. The present application is not intended to be limited to the particular embodiments disclosed herein but is to cover all embodiments that may fall within the scope of the appended claims.
Claims (13)
1. A subway face authentication method is characterized by comprising the following steps:
acquiring an actual face image of a passenger in a target area;
determining whether the actual face image is matched with the face image in the target face image database;
and when the actual face image is matched with the face image in the target face image database, determining that the passenger passes the verification of the face image.
2. The method of claim 1, wherein prior to said determining whether the face image matches a face image in a pre-created database of target face images, the method further comprises:
creating a user track model according to historical users taking the subway, wherein the user track model comprises historical station entering and exiting time of the users and second address information of the stations entering and exiting;
determining a predicted user group of the target area according to the track model;
the target face image database includes a second face image of the group of predicted users.
3. The method of claim 1, wherein prior to said determining whether the face image matches a face image in a pre-created database of target face images, the method further comprises:
acquiring first address information of user equipment;
determining whether the user equipment is located in the target area according to the first address information;
and when the user equipment is in the target area, putting a first face image corresponding to the user equipment into the target face image database.
4. The method of claim 3, wherein prior to placing a first facial image corresponding to the user device in the facial image database while the user device is in the target area, the method further comprises:
acquiring registration information of the user equipment, wherein the registration information comprises a first face image and a payment account;
putting the registration information of the user equipment into a face image data base;
placing the first face image corresponding to the user device into the target face image database further comprises:
and calling the first face image corresponding to the user equipment from the face image data base, and placing the first face image corresponding to the user equipment into the target face image data base.
5. The method of claim 4, further comprising, after determining that the passenger passes verification of the facial image:
and paying the riding fee by using a payment account corresponding to the actual face image according to the registration information.
6. The method of claim 3, wherein the obtaining the first address information of the user equipment comprises:
acquiring a communication signaling of user equipment;
and determining the first address information according to the communication signaling.
7. The method of claim 4,
the communication signaling comprises at least one of data receiving and sending signaling, sending and receiving information signaling and voice communication signaling;
and/or the communication signaling comprises at least one of an international mobile subscriber identification number, a mobile station identification code, a location code, a cell number, a timestamp, and an event type.
8. The method according to any of claims 4 to 6, wherein after the obtaining of the communication signaling of the user equipment, the method further comprises:
removing incomplete or lost invalid information recorded in the communication signaling to obtain an effective communication signaling;
determining the first address information according to the communication signaling, including:
and determining the first address information according to the effective communication signaling.
9. The method of claim 1, wherein the target area comprises a communication cell in which a current subway station is located.
10. The method of claim 1, wherein the target area comprises a communication cell in which a current subway station is located and a communication cell adjacent to the current subway station.
11. A metro face verification apparatus comprising:
the acquisition module is used for acquiring the actual face image of the passenger in the target area;
the judging module is used for determining whether the actual face image is matched with a face image in a pre-established target face image database;
and the determining module is used for determining that the passenger passes the verification of the face image when the actual face image is matched with the face image in the target face image database.
12. A subway face authentication device comprising a processor, a memory and a computer program stored on said memory and executable on said processor, said computer program when executed by said processor implementing the steps of the subway face authentication method as claimed in any one of claims 1 to 10.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, implements the steps of the subway face authentication method according to any one of claims 1 to 10.
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