Intelligent payment method, system and storage medium using palmar vein and palmprint for bus rides

Abstract

The present invention discloses a method, system and storage medium for intelligent payment using palm vein and palmprint for bus rides, which relates to the fields of palm vein and palmprint intelligence and intelligent payment technologies. The system of the present invention includes: a palm vein and palmprint bus background management module, a bus ride identification module, a built-in mobile processing module and an intelligent payment module; the output end of the palm vein and palmprint bus background management module is connected to the input end of the bus ride identification module; the output end of the bus ride identification module is connected to the input end of the built-in mobile processing module; the output end of the built-in mobile processing module is connected to the input end of the intelligent payment module. The present invention adopts two input methods, namely temporary and long-term. On the premise of solving the problem that bus riders forget to carry electronic devices such as mobile phones, they can take the bus through the temporary method; at the same time, different situations in the recognition process are analyzed, and the accuracy of recognition is improved by the built-in mobile recognition area.

Description

Technical Field

[0001] The present invention relates to the technical fields of palm vein and palmprint intelligence and intelligent payment, and specifically to a method, system and storage medium for using palm vein and palmprint intelligent payment for bus rides. Background Art

[0002] With the development of technology, palm vein and palmprint intelligent payment has gradually come into people's view. Different from conventional fingerprint recognition, in palm brushing recognition, information such as palmprints and palm blood vessel distributions can be obtained through means such as visible light and infrared cameras, ultrasonic waves, etc., and it has the advantages of high accuracy, non-contact, and the ability to perform live detection. Compared with face recognition, palm brushing recognition is more convenient, not affected by facial ornaments such as masks and glasses, and does not involve facial privacy, better protecting various sensitive information and preventing information leakage.

[0003] However, in the current palmprint recognition technology for bus rides, what generally affects the accuracy of palmprint recognition is not the recognition technology, but that during the palm brushing recognition process of users, due to different body proportions of users, the palm area often cannot completely coincide with the recognition area, resulting in frequent failures such as palm brushing failure and re-recognition, which slows down the boarding of passengers during bus rides and affects the overall progress efficiency of buses. Summary of the Invention

[0004] The purpose of the present invention is to provide a method, system and storage medium for using palm vein and palmprint intelligent payment for bus rides to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A method for using palm vein and palmprint intelligent payment for bus rides, the method includes the following steps:

[0006] S1. Construct a palm vein and palmprint bus background management system to realize the input of user palm vein and palmprint data, and the input includes temporary input and long-term input;

[0007] S2. After the palm vein and palmprint bus background management system receives the input of user palm vein and palmprint data, it feeds back to the bus ride recognition cloud. The cloud is respectively connected to the bus recognition port based on temporary input and long-term input to realize palm vein and palmprint bus payment;

[0008] S3. The bus recognition port is set at the upper door of each bus, used to identify the palm vein and palmprint data of users, has a built-in mobile recognition area, and calls historical bus recognition big data to construct an information analysis model;

[0009] S4. Based on the information analysis model, realize the built-in mobile method of the mobile recognition area, and automatically return to the initial position after the user completes palm vein and palmprint intelligent payment.

[0010] According to the above technical solution, the temporary entry accesses the palm vein and palm print bus background management system through the distributed bus stop; the long-term entry accesses the palm vein and palm print bus background management system through the online software;

[0011] The temporary entry includes:

[0012] Set up temporary palm vein and palm print data entry points at the distributed bus stop. Users enter palm vein and palm print data at the distributed bus stop, dock and bind the intelligent payment system with the bus to be taken, and form temporary palm vein and palm print data.

[0013] According to the above technical solution, in step S2, it specifically includes:

[0014] The cloud docks the distributed bus stop data based on the temporarily entered data, obtains the bus data of the bus about to arrive at the distributed bus stop according to the bus to be taken input by the user, conducts information interaction with the bus identification port of the bus about to arrive at the distributed bus stop, forms temporary identification data to the bus identification port. When the user's identification is completed during boarding, payment is made through the bound payment system. After the payment process is completed, the temporary palm vein and palm print data are automatically deleted;

[0015] The cloud docks all bus identification ports based on the long-term entered data, constructs a background database, and realizes palm vein and palm print bus payment on the bus identification port of any bus.

[0016] According to the above technical solution, in step S3, it further includes:

[0017] At the bus door, a three-dimensional space coordinate system is constructed based on the door monitoring device to realize the positioning of boarding users, obtain the data of identification failures or re-identifications in the historical bus identification big data, record them as marked data, sort out the marked data, and output the arm data corresponding to the palm vein and palm print wisdom when the user enters the door monitoring area. The arm data includes the coordinate position of the middle finger fingertip in the three-dimensional space coordinate system and the coordinate position of the approximate point formed by the elbow in the three-dimensional space coordinate system;

[0018] Obtain the coordinate of the center position of the recognition area of the bus identification port of the bus in the three-dimensional space coordinate system, calculate the distances between the center position of the recognition area of the bus identification port of the bus and the arm data respectively, and form distances and ; where refers to the distance between the center position of the recognition area of the bus identification port of the bus and the coordinate position of the middle finger fingertip in the three-dimensional space coordinate system; The distance between the approximate point formed by the center position of the recognition area of the bus recognition port of the bus and the elbow in the three-dimensional space coordinate system;

[0019] Construct a range interval of the user's height, where the user's height refers to the vertical height between the user's shoulder joint and the ground of the car door; set an interval difference a, with 1 meter as the initial interval, and set a user height interval every interval difference a. The data range within the interval includes the front endpoint but not the back endpoint;

[0020] Obtain the arm data and height data of the current user. Based on the height data, select the range interval of the user's height. Select N groups of data with recognition failures or re-identifications and N groups of normal data within the range interval. Calculate the arm data for the two groups of data respectively to form 2N data combinations. Mix the arm data of the current user with the 2N data combinations and then group them.

[0021] According to the above technical solution, the grouping includes:

[0022] Randomly initialize K clustering groups, where K is a constant value and less than 2N + 1. Set a clustering center for each clustering group. The clustering center randomly selects any one data from the grouped data after mixing. After forming K clustering centers, perform grouping processing on the 2N + 1 data combinations:

[0023]

[0024] Among them, is any one data in the grouped data after mixing, is the clustering center of the i-th clustering; is the dimension of the data, 、 respectively refer to the value on the j-th dimension;

[0025] For each clustering, recalculate its clustering center. The new clustering center is the mean value of all data points within the clustering.

[0026] Repeat the assignment and update steps until the termination conditions set by the system are met. The termination conditions include:

[0027] The distance between all new clustering centers and the old clustering centers is less than the threshold preset by the system;

[0028] The number of times of repeating the assignment and update reaches the maximum number of iterations preset by the system;

[0029] After meeting the termination conditions set by the system, analyze the group where the arm data of the current user is located. If the number of normal data exceeds 50% of the number within the group, it is defined as normal data; otherwise, it is defined as abnormal data;

[0030] After the arm data of the current user is defined as abnormal data, it is fed back to the bus identification port of the bus, and the group defined as normal data in the formed group is called for marking;

[0031] Obtain the point coordinates on the bus identification port area. Based on the arm data formed by any point and the arm of the current user, it is allocated to the formed group. Obtain the point coordinates on the bus identification port area of the group allocated to normal data as the center position of the identification area of the new bus identification port, and adjust the mobile identification area to realize the built-in movement of the mobile identification area.

[0032] The palm vein and palmprint intelligent payment system is used for bus rides. The system includes: a palm vein and palmprint bus background management module, a bus ride identification module, a built-in mobile processing module, and an intelligent payment module;

[0033] The palm vein and palmprint bus background management module is used to construct a palm vein and palmprint bus background management system to realize the input of user palm vein and palmprint data. The input includes temporary input and long-term input; the bus ride identification module is used to feedback to the bus ride identification cloud after the palm vein and palmprint bus background management system receives the input of user palm vein and palmprint data. The cloud is respectively connected to the bus identification port based on temporary input and long-term input to realize palm vein and palmprint bus payment; the built-in mobile processing module is used to identify the palm vein and palmprint data of the user, has a built-in mobile identification area, calls historical bus identification big data, and constructs an information analysis model; based on the information analysis model, the built-in movement mode of the mobile identification area is realized, and after the user completes palm vein and palmprint intelligent payment, it automatically returns to the initial position; the intelligent payment module is used to detect the payment result and feedback a payment success signal to the bus port;

[0034] The output end of the palm vein and palmprint bus background management module is connected to the input end of the bus ride identification module; the output end of the bus ride identification module is connected to the input end of the built-in mobile processing module; the output end of the built-in mobile processing module is connected to the input end of the intelligent payment module.

[0035] According to the above technical solution, the palm vein and palmprint bus background management module includes a temporary input unit and a long-term input unit;

[0036] The temporary input unit is used for temporary input and accesses the palm vein and palmprint bus background management system through a distributed bus platform; the long-term input is used for long-term input and accesses the palm vein and palmprint bus background management system through an online software;

[0037] The temporary input includes:

[0038] Set up temporary palm vein and palm print data entry points at distributed bus stops. Users can enter palm vein and palm print data at the distributed bus stops, connect and bind the intelligent payment system with the bus they want to take, and form temporary palm vein and palm print data.

[0039] According to the above technical solution, the bus ride identification module includes a temporary identification unit and a long-term identification unit;

[0040] The temporary identification unit is used to feedback the temporarily entered data to the bus ride identification cloud. The cloud docks the distributed bus stop data based on the temporarily entered data, obtains the bus data of the bus about to arrive at the distributed bus stop according to the bus that the user inputs to take, conducts information interaction with the bus identification port of the bus about to arrive at the distributed bus stop, forms temporary identification data to the bus identification port. When the user's ride identification is completed, payment is made through the bound payment system. After the payment process is completed, the temporary palm vein and palm print data are automatically deleted;

[0041] The long-term identification unit is used to feedback the temporarily entered data to the bus ride identification cloud. The cloud docks all bus identification ports based on the long-term entered data, constructs a background database, and realizes palm vein and palm print bus payment on the bus identification port of any bus.

[0042] According to the above technical solution, the built-in mobile processing module includes an informatization analysis unit and a built-in mobile unit;

[0043] The informatization analysis unit is used to identify the user's palm vein and palm print data, has a built-in mobile recognition area, calls historical bus identification big data, and constructs an informatization analysis model; the built-in mobile unit realizes the built-in mobile method of the mobile recognition area based on the informatization analysis model, and automatically returns to the initial position after the user completes the palm vein and palm print intelligent payment.

[0044] According to the above technical solution, there is also provided a storage medium for using palm vein and palm print intelligent payment for bus rides, on which a computer program is stored. When the computer program is executed by a processor, the method for using palm vein and palm print intelligent payment for bus rides is realized.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] 1. The present invention adopts two input methods, namely temporary and long-term. On the premise of solving the problem that passengers forget to carry electronic devices such as mobile phones, they can take the bus through the temporary method; at the same time, for some users who are more serious about privacy protection, it can achieve the effects of temporary use, temporary storage and rapid deletion, so as to ensure the privacy of data and reduce the circulation of privacy data.

[0047] 2. Based on different user heights, this application analyzes different situations during the recognition process, improves the recognition accuracy by setting up a built-in mobile recognition area, reduces the probability of recognition errors, minimizes the time impact during the boarding process as much as possible, and enhances the comfort of taking the bus. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic flowchart of the method for using palm vein and palm print intelligent payment for bus riding according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0050] Embodiment: As Figure 1 shown, the present invention provides a method for using palm vein and palm print intelligent payment for bus riding, and the method includes:

[0051] Construct a palm vein and palm print bus background management system to realize the input of user palm vein and palm print data, and the input includes temporary input and long-term input;

[0052] The temporary input accesses the palm vein and palm print bus background management system through a distributed bus stop; the long-term input accesses the palm vein and palm print bus background management system through an online software;

[0053] The temporary input includes:

[0054] Set up a temporary palm vein and palm print data input point at the distributed bus stop. Users input palm vein and palm print data at the distributed bus stop, connect and bind the intelligent payment system with the bus to be taken, and form temporary palm vein and palm print data.

[0055] In this embodiment, the temporary input is mainly for two types of user groups. The first type is the situation where electronic devices such as mobile phones are not carried or the carried electronic devices are turned off, and online direct payment cannot be realized; the second type is the user group that attaches great importance to privacy protection and values the retention of data; for such user groups, stage functions of temporary input, temporary use, and immediate deletion are provided. Users perform temporary input through the input module set at the bus stop and bind the corresponding payment module, such as a certain payment, etc., so as to realize temporary information input and temporary payment;

[0056] After the palm vein and palm print bus back-end management system receives the input of the user's palm vein and palm print data, it feeds back to the bus ride recognition cloud. The cloud docks the bus recognition ports based on temporary input and long-term input respectively to realize palm vein and palm print bus payment;

[0057] In this embodiment, based on different input methods, different cloud processing is also formed. The temporarily input data is docked with the distributed bus stop data. According to the bus that the user is about to take entered by the user, the bus data about to arrive at the distributed bus stop is obtained, and information interaction is carried out with the bus recognition port of the bus about to arrive at the distributed bus stop to form temporary recognition data to the bus recognition port. When the user's ride is recognized and completed, payment is made through the bound payment system. After the payment process is completed, the palm vein and palm print temporary data are automatically deleted;

[0058] At the current time period and direction of each bus stop, the recognition interface of the bus can be quickly determined. Based on the user's temporary data, just dock the determined recognition interface of the bus. In this way, the temporary data can be desensitized and quickly deleted.

[0059] The cloud docks all bus recognition ports based on the long-term input data, constructs a back-end database, and realizes palm vein and palm print bus payment on the bus recognition port of any bus.

[0060] The bus recognition port is set at the upper door of each bus, used to recognize the user's palm vein and palm print data, and has a mobile recognition area built-in, which calls the historical bus recognition big data to construct an information-based analysis model;

[0061] At the upper door of the bus, a three-dimensional space coordinate system is constructed based on the door monitoring device to realize the positioning of the boarding user, obtain the data of recognition failure or re-recognition in the historical bus recognition big data, record it as marked data, and organize the marked data to output the palm vein and palm print intelligent corresponding arm data when the user enters the boarding door monitoring area. The arm data includes the coordinate position of the middle finger fingertip in the three-dimensional space coordinate system and the coordinate position of the approximate point formed by the elbow in the three-dimensional space coordinate system;

[0062] Obtain the coordinate of the center position of the recognition area of the bus recognition port of the bus in the three-dimensional space coordinate system, and calculate the distances between the center position of the recognition area of the bus recognition port of the bus and the arm data respectively to form distances and ; among them, refers to the distance between the center position of the recognition area of the bus recognition port of the bus and the coordinate position of the middle finger fingertip in the three-dimensional space coordinate system; refers to the distance between the center position of the recognition area of the bus recognition port of the bus and the coordinate position of the approximate point formed by the elbow in the three-dimensional space coordinate system;

[0063] Construct a range of user heights, where the user height refers to the vertical height between the user's shoulder joint and the ground of the car door; set an interval difference a. Starting from an initial interval of 1 meter, set a user height interval every interval difference a. The data range within the interval includes the front endpoint but not the rear endpoint;

[0064] Obtain the arm data and height data of the current user. Based on the height data, select the range of user heights. Within the range, select N groups of data with recognition failures or re - identifications and N groups of normal data. Calculate the arm data for the two groups of data respectively to form 2N data combinations. Mix the arm data of the current user with the 2N data combinations and then group them.

[0065] The grouping includes:

[0066] Randomly initialize K clustering groups, where K is a constant value and less than 2N + 1. Set a clustering center for each clustering group. The clustering center randomly selects any one data from the grouped data after mixing. After forming K clustering centers, perform grouping processing on the 2N + 1 data combinations:

[0067]

[0068] Among them, is any one data in the grouped data after mixing, is the clustering center of the i - th cluster; is the dimension of the data, 、 respectively refer to the value on the j - th dimension;

[0069] For each cluster, recalculate its clustering center. The new clustering center is the mean value of all data points within the cluster;

[0070] Repeat the assignment and update steps until the termination conditions set by the system are met. The termination conditions include:

[0071] The distance between all new clustering centers and the old clustering centers is less than the threshold preset by the system;

[0072] The number of times of repeating the assignment and update reaches the maximum number of iterations preset by the system;

[0073] After meeting the termination conditions set by the system, analyze the group where the arm data of the current user is located. If the number of normal data exceeds 50% of the number within the group, it is defined as normal data; otherwise, it is defined as abnormal data;

[0074] After the arm data of the current user is defined as abnormal data, it is fed back to the bus identification port of the bus, and the group defined as normal data in the formed group is called for marking.

[0075] Obtain the point coordinates on the bus identification port area. Based on the arm data formed by any point and the arm of the current user, it is allocated to the formed group. Obtain the point coordinates on the bus identification port area of the group allocated to the normal data as the center position of the identification area of the new bus identification port, and adjust the mobile identification area to realize the built-in movement of the mobile identification area. After the user completes the palm vein and palm print intelligent payment, it automatically returns to the initial position.

[0076] In this embodiment, a bus ride palm vein and palm print intelligent payment system is also provided. The system includes: a palm vein and palm print bus background management module, a bus ride identification module, a built-in mobile processing module, and an intelligent payment module.

[0077] The palm vein and palm print bus background management module is used to construct a palm vein and palm print bus background management system to realize the entry of user palm vein and palm print data. The entry includes temporary entry and long-term entry. The bus ride identification module is used to feedback to the bus ride identification cloud after the palm vein and palm print bus background management system receives the user palm vein and palm print data entry. The cloud docks the bus identification port based on temporary entry and long-term entry respectively to realize palm vein and palm print bus payment. The built-in mobile processing module is used to identify the user's palm vein and palm print data, has a built-in mobile identification area, calls historical bus identification big data, and constructs an information analysis model. Based on the information analysis model, the built-in movement mode of the mobile identification area is realized, and it automatically returns to the initial position after the user completes the palm vein and palm print intelligent payment. The intelligent payment module is used to detect the payment result and feedback a payment success signal to the bus port.

[0078] The output end of the palm vein and palm print bus background management module is connected to the input end of the bus ride identification module. The output end of the bus ride identification module is connected to the input end of the built-in mobile processing module. The output end of the built-in mobile processing module is connected to the input end of the intelligent payment module.

[0079] The palm vein and palm print bus background management module includes a temporary entry unit and a long-term entry unit.

[0080] The temporary entry unit is used for temporary entry and accesses the palm vein and palm print bus background management system through a distributed bus stop. The long-term entry is used for long-term entry and accesses the palm vein and palm print bus background management system through an online software.

[0081] The temporary entry includes:

[0082] Set up temporary palm vein and palm print data entry points at distributed bus stops. Users input palm vein and palm print data at the distributed bus stops to connect and bind the intelligent payment system with the bus to be taken, forming temporary palm vein and palm print data.

[0083] The bus ride identification module includes a temporary identification unit and a long-term identification unit;

[0084] The temporary identification unit is used to feedback the temporarily entered data to the bus ride identification cloud. The cloud docks the distributed bus stop data based on the temporarily entered data, obtains the bus data of the bus about to arrive at the distributed bus stop according to the bus to be taken input by the user, conducts information interaction with the bus identification port of the bus about to arrive at the distributed bus stop, forms temporary identification data to the bus identification port. When the user's ride identification is completed, payment is made through the bound payment system. After the payment process is completed, the temporary palm vein and palm print data are automatically deleted;

[0085] The long-term identification unit is used to feedback the temporarily entered data to the bus ride identification cloud. The cloud docks all bus identification ports based on the long-term entered data, constructs a background database, and realizes palm vein and palm print bus payment on the bus identification port of any bus.

[0086] The built-in mobile processing module includes an informatization analysis unit and a built-in mobile unit;

[0087] The informatization analysis unit is used to identify the user's palm vein and palm print data, has a built-in mobile recognition area, calls historical bus identification big data, and constructs an informatization analysis model; the built-in mobile unit realizes the built-in mobile mode of the mobile recognition area based on the informatization analysis model, and automatically returns to the initial position after the user completes palm vein and palm print intelligent payment.

[0088] This embodiment also provides a storage medium for using palm vein and palm print intelligent payment for bus rides, on which a computer program is stored. When the computer program is executed by a processor, the method for using palm vein and palm print intelligent payment for bus rides as described above is implemented.

[0089] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, in any regard, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to include all changes falling within the meaning and scope of the equivalent elements of the claims in the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. A method for intelligent payment using palm vein and palmprint when taking the bus, characterized in that: The method includes the following steps: S1. Construct a palm vein and palm print bus back-end management system to realize the input of user palm vein and palm print data, and the input includes temporary input and long-term input; S2. After the palm vein and palm print bus back-end management system receives the input of user palm vein and palm print data, it feeds back to the bus ride recognition cloud. The cloud docks the bus recognition ports based on temporary input and long-term input respectively to realize palm vein and palm print bus payment; S3. The bus recognition ports are set at the upper doors of each bus, which are used to recognize the palm vein and palm print data of users. There is a mobile recognition area built-in, which calls the historical bus recognition big data to construct an information-based analysis model; S4. Based on the information-based analysis model, the built-in mobile method of the mobile recognition area is realized. After the user completes the intelligent payment of palm vein and palm print, it automatically returns to the initial position; In step S3, it also includes: At the upper door of the bus, a three-dimensional space coordinate system is constructed based on the door monitoring device to realize the positioning of boarding users. Obtain the data of recognition failure or re-recognition in the historical bus recognition big data, which is recorded as marked data. Sort out the marked data and output the arm data corresponding to the palm vein and palm print wisdom when the user enters the boarding door monitoring area. The arm data includes the coordinate position of the middle finger fingertip in the three-dimensional space coordinate system and the coordinate position of the approximate point formed by the elbow in the three-dimensional space coordinate system; Obtain the coordinates of the center position of the recognition area of the bus recognition port of the bus in the three-dimensional space coordinate system, and calculate the distances between the center position of the recognition area of the bus recognition port of the bus and the arm data respectively to form distances and ; among them, refers to the distance between the center position of the recognition area of the bus recognition port of the bus and the coordinate position of the fingertip of the middle finger in the three-dimensional space coordinate system; refers to the distance between the center position of the recognition area of the bus recognition port of the bus and the coordinate position of the approximate point formed by the elbow in the three-dimensional space coordinate system; Construct a range interval of user height, where the user height refers to the vertical height between the user's shoulder joint and the ground of the door; Set an interval difference a, with 1 meter as the initial interval, and set a user height interval every interval difference a. The data range within the interval includes the front endpoint but not the back endpoint; Obtain the arm data and height data of the current user. Based on the height data, select the range interval of user height. Select N groups of recognition failure or re-recognition data and N groups of normal data within the range interval, calculate the arm data for the two groups of data respectively to form 2N data combinations, and mix the arm data of the current user with the 2N data combinations and then group them.

2. The intelligent payment method using palm vein and palmprint for bus rides according to claim 1, characterized in that: The temporary input accesses the palm vein and palm print bus back-end management system through the distributed bus stop; The long-term input accesses the palm vein and palm print bus back-end management system through the online software; The temporary input includes: Set up a temporary palm vein and palm print data input point at the distributed bus stop. Users input palm vein and palm print data at the distributed bus stop, dock and bind the intelligent payment system with the bus to be taken to form temporary palm vein and palm print data.

3. The intelligent payment method using palm vein and palmprint for bus rides according to claim 2, wherein: In step S2, it specifically includes: The cloud docks the distributed bus stop data based on the temporarily input data, obtains the bus data of the bus about to arrive at the distributed bus stop according to the bus to be taken input by the user, conducts information interaction with the bus recognition port of the bus about to arrive at the distributed bus stop to form temporary recognition data to the bus recognition port. When the user completes the recognition during the ride, payment is made through the bound payment system. After the payment process is completed, the temporary palm vein and palm print data are automatically deleted; The cloud connects all bus identification ports based on long-term input data, constructs a background database, and realizes palm vein and palm print bus payments on the bus identification port of any bus.

4. The intelligent payment method using palm vein and palmprint for bus rides according to claim 3, characterized in that: The grouping includes: Randomly initialize K clustering groups, where K is a constant value and less than 2N + 1. Set a clustering center for each clustering group. The clustering center randomly selects any one data from the mixed and grouped data. After forming K clustering centers, perform grouping processing on the 2N + 1 data combinations: ； Among them, is any one of the data in the grouped data after mixing, is the cluster center of the i-th cluster; is the dimension of the data, and respectively refer to the values on the j-th dimension; For each cluster, recalculate its clustering center, and the new clustering center is the mean of all data points within the cluster; Repeat the assignment and update steps until the termination conditions set by the system are met. The termination conditions include: The distance between all new clustering centers and the old clustering centers is less than the threshold preset by the system; The number of times of repeating the assignment and update reaches the maximum number of iterations preset by the system; After meeting the termination conditions set by the system, analyze the group where the arm data of the current user is located. If the number of normal data exceeds 50% of the number within the group, it is defined as normal data, otherwise, it is defined as abnormal data; After the arm data of the current user is defined as abnormal data, feedback it to the bus identification port of the bus, call the group defined as normal data in the formed group, and perform marking; Obtain the point coordinates on the bus identification port area. Based on the arm data formed by any point and the arm of the current user, allocate it to the formed group, obtain the point coordinates on the bus identification port area of the group allocated to normal data, and use it as the center position of the identification area of the new bus identification port. Adjust the mobile identification area to realize the built-in movement of the mobile identification area.

5. The palm vein and palmprint intelligent payment system for bus rides uses the palm vein and palmprint intelligent payment method for bus rides as described in claim 1, characterized in that: The system includes: a palm vein and palm print bus background management module, a bus ride identification module, a built-in movement processing module, and a smart payment module; The palm vein and palm print bus background management module is used to construct a palm vein and palm print bus background management system to realize the input of user palm vein and palm print data. The input includes temporary input and long-term input; the bus ride identification module is used to feedback to the bus ride identification cloud after the palm vein and palm print bus background management system receives the input of user palm vein and palm print data. The cloud connects the bus identification port based on temporary input and long-term input respectively to realize palm vein and palm print bus payments; the built-in movement processing module is used to identify the palm vein and palm print data of the user, has a built-in mobile identification area, calls historical bus identification big data, and constructs an information analysis model; based on the information analysis model, realizes the built-in movement method of the mobile identification area, and automatically returns to the initial position after the user completes the palm vein and palm print smart payment; the smart payment module is used to detect the payment result and feedback a payment success signal to the bus port; The output end of the palm vein and palm print bus background management module is connected to the input end of the bus ride identification module; the output end of the bus ride identification module is connected to the input end of the built-in movement processing module; the output end of the built-in movement processing module is connected to the input end of the smart payment module.

6. The palm vein and palmprint intelligent payment system for bus rides according to claim 5, characterized in that: The palm vein and palm print bus background management module includes a temporary entry unit and a long-term entry unit; The temporary entry unit is used for temporary entry and accesses the palm vein and palm print bus background management system through a distributed bus stop; The long-term entry is used for long-term entry and accesses the palm vein and palm print bus background management system through online software; The temporary entry includes: Set up a temporary palm vein and palm print data entry point at the distributed bus stop. Users enter palm vein and palm print data at the distributed bus stop, dock and bind the intelligent payment system with the bus to be taken, and form temporary palm vein and palm print data.

7. The intelligent payment system using palm vein and palmprint for bus rides according to claim 5, wherein: The bus ride identification module includes a temporary identification unit and a long-term identification unit; The temporary identification unit is used to feedback the temporarily entered data to the bus ride identification cloud. The cloud docks the distributed bus stop data based on the temporarily entered data, obtains the bus data of the bus that is about to arrive at the distributed bus stop according to the bus to be taken input by the user, conducts information interaction with the bus identification port of the bus that is about to arrive at the distributed bus stop, forms temporary identification data to the bus identification port. When the user's ride is identified and completed, payment is made through the bound payment system. After the payment process is completed, the temporary palm vein and palm print data are automatically deleted; The long-term identification unit is used to feedback the temporarily entered data to the bus ride identification cloud. The cloud docks all bus identification ports based on the long-term entered data, constructs a background database, and realizes palm vein and palm print bus payment on the bus identification port of any bus.

8. The palm vein and palmprint intelligent payment system for bus rides according to claim 5, characterized in that: The built-in mobile processing module includes an informatization analysis unit and a built-in mobile unit; The informatization analysis unit is used to identify the user's palm vein and palm print data, has a built-in mobile recognition area, calls historical bus identification big data, and constructs an informatization analysis model; the built-in mobile unit realizes the built-in mobile mode of the mobile recognition area based on the informatization analysis model, and automatically returns to the initial position after the user completes the palm vein and palm print intelligent payment.

9. A smart payment storage medium for bus rides using palm vein and palmprint, on which a computer program is stored, characterized in that, When the computer program is executed by a processor, it implements the method for using palm vein and palm print intelligent payment for bus rides as described in any one of claims 1 to 4.

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