A multi-platform face recognition integrated payment machine and payment method

Abstract

The present invention relates to the field of smart payment, specifically to an integrated multi-platform face recognition machine and payment method for aggregated payment. It includes: a database module; a tracking camera ranging module for rotating to the middle point of the user's eyes to measure the distance to the middle point and photograph the user's face in this direction to obtain a facial shot image; a central controller that is connected to the tracking camera ranging module to receive the position information of the middle point of the user's eyes collected by the tracking camera ranging module, and divides the facial shot image in the length direction along the direction of the tracking camera ranging module toward the middle point of the user's eyes to obtain two lengths, and outputs a control signal for driving the tracking camera ranging module to rotate from the horizontal direction to the angle between the directions toward the middle point of the user's eyes; a rotation drive device; and a correction module. The present invention has high efficiency and accuracy in face recognition and high efficiency in account payment transactions.

Description

Technical Field

[0001] The present invention relates to the field of intelligent payment, and in particular to an aggregated payment multi-platform face recognition integrated machine and a payment method. Background Art

[0002] Aggregate payment, also known as integrated payment, refers to payment services other than payment, settlement and clearing services. It relies on banks, non-bank institutions or clearing organizations, and with the help of the payment channels and clearing and settlement capabilities of banks, non-bank institutions or clearing organizations, and uses its own technology and service integration capabilities to integrate the payment services of more than one bank, non-bank institution or clearing organization, and provide merchants with services including but not limited to payment channel services, collective reconciliation services, technical docking services, error handling services, financial service guidance, member account services, operation process software services, operation and maintenance services, terminal provision and maintenance, etc., so as to reduce the cost expenditure faced by merchants when accessing and maintaining payment and settlement services, improve the operating efficiency of merchants' payment and settlement systems, and collect value-added income. Aggregate payment can be used for account transactions on multiple platforms that support facial recognition, such as WeChat, Alipay and Cloud QuickPass.

[0003] At present, the face recognition camera used for account transactions is generally integrated into a tablet computer, or separately fixed on a face recognition all-in-one machine, which can perform face recognition on users within a certain range in front, and when it is recognized that the user has a financial account, the account can be traded. However, different users have different heights. If the face of the user is outside the face recognition range of the device when standing normally, it is inconvenient to use the existing equipment for face recognition, and the user needs to bend down or stand on tiptoe to get the face into the face recognition range, which consumes face recognition time, resulting in reduced recognition efficiency and low account payment transaction efficiency. Summary of the invention

[0004] The purpose of the present invention is to address the problems existing in the background technology and to propose an aggregated payment multi-platform face recognition integrated machine and payment method with high face recognition efficiency, high accuracy and high account payment transaction efficiency.

[0005] On the one hand, the present invention proposes an integrated payment multi-platform face recognition machine, comprising:

[0006] A database module for storing actual images of users' faces;

[0007] A tracking camera ranging module for rotating to face the middle point between the user's eyes to measure the distance to the middle point and photographing the user's face at the position to obtain a facial photographic image;

[0008] A central controller that is communicatively connected with the tracking camera ranging module to receive the position information of the middle point of the user's eyes collected by the tracking camera ranging module, the distance from the tracking camera ranging module to the middle point of the user's eyes, and the facial image, and divides the facial image in the length direction along the direction of the tracking camera ranging module toward the middle point of the user's eyes to obtain two lengths, and outputs a control signal for driving the tracking camera ranging module to rotate from a horizontal direction to an angle between the directions toward the middle point of the user's eyes;

[0009] A rotation drive device connected to the central controller for receiving control signals and driving the tracking camera ranging module to rotate;

[0010] A correction module is connected to the central controller for receiving data on the distance from the tracking camera ranging module to the middle point of the user's eyes, the length of the two segments into which the facial image is divided along the length direction, and the rotation angle of the tracking camera ranging module, and scaling the facial image along the length direction according to the data to correct it into a facial correction image; and

[0011] A verification module is connected in communication with the correction module to receive the face correction image and compare and identify the face correction image with the actual face image.

[0012] Preferably, the length L of the face correction image is calculated as follows:

[0013]

[0014] The facial image is divided into two segments with lengths of a and b, T is the distance from the tracking camera ranging module to the middle point between the user's eyes, and α is the angle between the tracking camera ranging module rotating from the horizontal position to the position toward the middle point between the user's eyes.

[0015] Preferably, the verification module pre-sets a difference threshold compared to the actual image of the face;

[0016] When the difference between the face correction image and the actual face image is within the difference threshold, it is determined that the face capture image and the actual face image are the face data of the same user, and the face recognition verification is passed;

[0017] When the difference between the face correction image and the actual face image exceeds the difference threshold, it is determined that the face capture image and the actual face image are face data of different users, and the face recognition verification fails.

[0018] Preferably, the verification module is communicatively connected to the payment module, the touch screen and the display screen, and the touch screen and the display screen are communicatively connected to the central controller respectively.

[0019] Preferably, it also includes a rotating plate and a bottom plate, the rotating drive device is arranged on the top of the rotating plate, the rotating plate is connected to the bottom plate in a damping rotation, the touch screen is arranged on the rotating plate, and the display screen is arranged on the bottom plate.

[0020] Preferably, it also includes a front plate, a connecting plate, a movable plate and a threaded knob, the front plate is arranged at the front end of the bottom of the base plate, the connecting plate is connected to the rear end of the bottom of the base plate, the connecting plate is an L-shaped plate structure, the movable plate is slidably arranged at the bottom of the connecting plate, the movable plate is parallel to the base plate, the threaded knob passes through the connecting plate and is threadedly connected to the connecting plate, and the end of the threaded knob is rotatably connected to the movable plate.

[0021] Preferably, the threaded knob includes a knob portion and a screw portion, and a cylindrical folding cover a and a cylindrical folding cover b are sleeved on the outer periphery of the screw portion, one end of the cylindrical folding cover a contacts the knob portion, and the other end of the cylindrical folding cover a is connected to the connecting plate, and both ends of the cylindrical folding cover b are respectively connected to the connecting plate and the movable plate.

[0022] On the other hand, the present invention proposes a payment method based on the above-mentioned aggregate payment multi-platform face recognition integrated machine, comprising the following steps:

[0023] S1. The user stands in front of the face recognition integrated device;

[0024] S2, the tracking camera ranging module monitors the position of the middle point of the user's eyes and sends the position information of the middle point of the eyes to the central controller;

[0025] S3, the central controller sends a control signal to the rotation drive device to rotate to a desired angle according to the position information of the middle point of the user's eyes;

[0026] S4, the rotation driving device drives the tracking camera ranging module to rotate from the horizontal direction to the position toward the middle point of the user's eyes;

[0027] S5, the tracking camera ranging module measures the distance to the middle point between the user's eyes and captures a facial image, and the central controller divides the facial image along the direction from the tracking camera ranging module to the middle point between the user's eyes to obtain two lengths;

[0028] S6, the correction module scales the facial image along the length direction according to the distance from the tracking camera ranging module to the middle point of the user's eyes, the rotation angle of the tracking camera ranging module, and the lengths of the two segments obtained by dividing the facial image to obtain a corrected facial correction image;

[0029] S7, the verification module compares and identifies the face correction image with the actual face image;

[0030] S8. After the comparison and identification is passed, the amount in the user's account is paid.

[0031] Compared with the prior art, the present invention has the following beneficial technical effects:

[0032] The present invention can be applied to face recognition of users of different heights, saving recognition time, improving face recognition verification efficiency and payment efficiency. The user only needs to stand upright in front of the face recognition integrated machine with the user's face vertical. The size of the actual face image stored in the database is consistent with the actual size. The tracking camera ranging module in the face recognition integrated machine rotates to the shooting angle to obtain a facial shot image. The width of the facial shot image is the same as the width of the actual face image, and the length must be less than or equal to the length of the actual face image. In this case, the authenticity of the facial shot image is not high. Therefore, the facial shot image is scaled in the length direction by the correction module to transform it into the shape of the actual face image to obtain a facial correction image. The facial correction image and the actual face image are used for comparison and recognition, which has a faster recognition speed and higher efficiency, saving recognition and payment time. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a system structure block diagram of an embodiment of the present invention;

[0034] Figure 2 A schematic diagram of collecting facial images of users of different heights according to an embodiment of the present invention;

[0035] Figure 3 A schematic diagram showing the integration of an actual image of a user's face and a captured image of the face;

[0036] Figure 4 The schematic diagram of the geometric main view is to obtain the face correction image according to the face shooting image when the tracking camera ranging module rotates downward.

[0037] Figure 5 The present invention is a geometrical main view schematic diagram of obtaining a face correction image according to a facial shot image when the tracking camera ranging module rotates upward.

[0038] Attached figures: 100, actual face image; 200, captured face image; 1, tracking camera ranging module; 2, rotation drive device; 3, rotating plate; 31, touch screen; 4, bottom plate; 41, display screen; 5, front plate; 6, connecting plate; 7, moving plate; 8, threaded knob. DETAILED DESCRIPTION

[0039] Embodiment 1

[0040] like Figure 1-3 As shown, the present invention proposes an integrated payment multi-platform face recognition machine, which includes a database module, a tracking camera ranging module 1, a central controller, a rotation drive device 2, a correction module and a verification module.

[0041] The database module is used to store the actual face image 100 of the user. The actual face image 100 is a rectangular image external to the facial contour. The database can be a database of a facial recognition payment platform such as WeChat, Alipay and Cloud QuickPass, so as to realize aggregated payment and increase the diversity of user payment methods.

[0042] The tracking camera ranging module 1 is used to rotate toward the middle point of the user's eyes to measure the distance to the middle point and shoot the user's face in this direction to obtain a facial shot image 200, such as Figure 2 As shown, the tracking camera ranging module 1 is perpendicular to the facial image 200 in the direction of the middle point of the user's eyes. The facial image 200 is a rectangular image circumscribed to the facial contour. The actual facial image 100 and the facial image 200 in the accompanying drawings do not have a circumscribed rectangle. The size of the actual facial image 100 and the facial image 200, that is, the length and width, can be understood according to the size of the circumscribed rectangle.

[0043] The central controller is communicatively connected with the tracking camera ranging module 1 to receive the position information of the middle point of the user's eyes, the distance from the tracking camera ranging module 1 to the middle point of the user's eyes, and the facial image 200 collected by the tracking camera ranging module 1, and divides the facial image 200 in the length direction along the direction of the tracking camera ranging module 1 toward the middle point of the user's eyes to obtain two lengths, and outputs a control signal for driving the tracking camera ranging module 1 to rotate from a horizontal position to an angle between the positions toward the middle point of the user's eyes.

[0044] The rotation driving device 2 is connected to the central controller for communication to receive control signals and drive the tracking camera ranging module 1 to rotate.

[0045] The correction module is connected to the central controller for communication to receive data on the distance from the tracking camera ranging module 1 to the middle point of the user's eyes, the length of the facial image 200 divided into two sections along the length direction, and the rotation angle of the tracking camera ranging module 1, and scales the facial image 200 along the length direction according to the data to correct it into a facial correction image.

[0046] The verification module is in communication with the correction module to receive the face correction image and compare and identify the face correction image with the actual face image 100 .

[0047] The payment method of the above-mentioned face recognition integrated machine includes the following steps:

[0048] S1. The user stands in front of the face recognition integrated machine. An indication sign can be set on the ground below the front of the face recognition integrated machine to indicate the user's standing position, thereby improving the accuracy and effectiveness of image capture;

[0049] S2, the tracking camera ranging module 1 monitors the position of the middle point of the user's eyes and sends the position information of the middle point of the eyes to the central controller;

[0050] S3, the central controller sends a control signal to the rotation drive device 2 to rotate to a desired angle according to the position information of the middle point of the user's eyes;

[0051] S4, the rotation drive device 2 drives the tracking camera ranging module 1 to rotate from the horizontal direction to the position toward the middle point of the user's eyes. The rotation drive device 2 can drive the tracking camera ranging module 1 to rotate to any angle, and the output end of the rotation drive device 2 can be forward and reversed;

[0052] S5, the tracking camera ranging module 1 measures the distance to the middle point of the user's eyes and captures a facial image 200, and the central controller divides the facial image 200 along the direction from the tracking camera ranging module 1 to the middle point of the user's eyes to obtain two lengths;

[0053] S6, the correction module scales the facial image 200 along the length direction according to the distance from the tracking camera ranging module 1 to the middle point of the user's eyes, the rotation angle of the tracking camera ranging module 1, and the lengths of the two segments obtained by dividing the facial image 200 to obtain a corrected facial correction image;

[0054] S7, the verification module compares and identifies the face correction image with the actual face image 100. After the identification is completed, the tracking camera ranging module 1 is driven to reset by the rotation drive device 2, that is, to rotate in the opposite direction to a horizontal state, in preparation for the next face recognition process;

[0055] S8. After the comparison and identification is passed, the amount in the user's account is paid.

[0056] This embodiment can be applied to face recognition of users of different heights, saving recognition time, improving face recognition verification efficiency and payment efficiency. The user only needs to stand upright in front of the face recognition integrated machine with the user's face vertical. The size of the actual face image 100 stored in the database is consistent with the actual size. The tracking camera ranging module 1 in the face recognition integrated machine rotates to the shooting angle, and the face shot image 200 is obtained. The width of the face shot image 200 is the same as the width of the actual face image 100, and the length must be less than or equal to the length of the actual face image 100. The authenticity of the face shot image 200 is not high. Therefore, the face shot image 200 is scaled in the length direction by the correction module to transform the shape of the actual face image 100 to obtain a face correction image. The face correction image and the actual face image 100 are used for comparison and recognition, which is faster and more efficient, saving recognition and payment time.

[0057] Embodiment 2

[0058] The present invention proposes a multi-platform face recognition integrated payment machine and payment method. Compared with the first embodiment, in this embodiment, Figure 4 As shown, point O is the data acquisition origin of the tracking camera ranging module 1. When the tracking camera ranging module 1 rotates downward, point A is the vertex of the user's actual face image 100 and the facial captured image 200, and point B is the bottom point of the user's actual face image 100. Figure 5 As shown, when the tracking camera ranging module 1 rotates upward, point A is the bottom point of the user's face actual image 100 and the face shot image 200, and point B is the top point of the user's face actual image 100. AB is vertical, L is the length of AB, that is, the length of the face actual image 100, the face actual image 100 is used to analyze how to transform from the face shot image 200 into a face correction image with higher authenticity, the length of the face actual image 100 corresponds to the length of the face correction image, AC is the length of the face shot image 200, and both the face actual image 100 and the face shot image 200 are within the shooting range of the tracking camera ranging module 1.

[0059] The analysis is performed when the tracking camera ranging module 1 rotates downward. Point C is the bottom point of the user's facial image 200, point D is the center point of both eyes of the actual facial image 100 of the user, point E is the intersection of OD and AC, and OD is perpendicular to AC, point F is the intersection of the perpendicular line OB through point D and OB, and point G is the point horizontal to point O. m is the length of AD, n is the length of BD, a is the length of AE, b is the length of CE, d is the length of DF, p is the length of DE, and q is the length of OE; p+q is the distance from the tracking camera ranging module 1 to the middle point of the user's eyes, which is set as T; β is ∠BOD, and γ is ∠OBD.

[0060] Because ∠AED=∠OGD=90°, ∠DAE=∠GOD=α, then:

[0061]

[0062] also:

[0063]

[0064] q=Tp=Ta tanα

[0065] γ=90°-α-β

[0066] d = T tan β

[0067] but:

[0068]

[0069] And because:

[0070] L=m+n

[0071] Then the calculation formula for the length L of the face correction image is:

[0072]

[0073] Among them, the facial image 200 is divided into two segments with lengths a and b respectively; T is the distance from the tracking camera ranging module to the middle point of the user's eyes, α is the angle ∠GOD between the tracking camera ranging module rotating from the horizontal position to the position toward the middle point of the user's eyes, and α is a positive value.

[0074] Figure 5 The corresponding parameters are marked in FIG. 1 . Similarly, when the tracking camera ranging module 1 is rotated upward for analysis, the calculation formula for the length L of the face correction image is:

[0075]

[0076] The calculation formula is the same as that of the face correction image when the tracking camera ranging module 1 rotates downward.

[0077] In this embodiment, L is a face correction image obtained by scaling the facial capture image 200. Compared with the facial capture image 200, the face correction image is closer to the actual facial image of the user. By comparing the face correction image with a large number of actual facial images 100 stored in the database, it is more conducive to accurate and rapid face recognition of the user.

[0078] Embodiment 3

[0079] like Figure 2-3 As shown, the present invention proposes a multi-platform face recognition integrated machine for aggregated payment. Compared with the first embodiment, in this embodiment, the verification module pre-sets a difference threshold compared to the actual face image 100. When the difference between the face correction image and the actual face image 100 is within the difference threshold, the face capture image 200 and the actual face image 100 are determined to be the face data of the same user, and the face recognition verification is passed; when the difference between the face correction image and the actual face image 100 exceeds the difference threshold, the face capture image 200 and the actual face image 100 are determined to be the face data of different users, and the face recognition verification fails. The verification module is communicatively connected with the payment module, the touch screen 31 and the display screen 41, and the touch screen 31 and the display screen 41 are respectively communicatively connected with the central controller. After the user's face verification is passed, the corresponding amount in the user's account is deducted through the payment module to complete the payment. The verification result of the user's facial image by the verification module can be displayed on the touch screen 31 and the display screen 41. The touch screen 31 is for the staff to watch, and the display screen 41 is for the user to watch, so that the staff and the user can obtain the verification result in time.

[0080] The face recognition integrated machine also includes a rotating plate 3, a bottom plate 4, a front plate 5, a connecting plate 6, a moving plate 7 and a threaded knob 8. The rotating driving device 2 is arranged on the top of the rotating plate 3. The rotating plate 3 is connected to the bottom plate 4 in a damping rotation. The touch screen 31 is arranged on the rotating plate 3. The display screen 41 is arranged on the bottom plate 4. After adjusting the angle of the rotating plate 3, the tracking camera ranging module 1 needs to be adjusted to a horizontal state again. For example, a horizontal sensor can be arranged to detect the horizontal state of the tracking camera ranging module 1 and send a signal to the central controller. The central controller then controls the rotating driving device 2 and uses the rotating driving device 2 to drive the tracking camera ranging module 1 to rotate to a horizontal state. The front plate 5 is arranged at the front end of the bottom of the bottom plate 4, the connecting plate 6 is connected to the rear end of the bottom of the bottom plate 4, the connecting plate 6 is an L-shaped plate structure, the moving plate 7 is slidably arranged at the bottom of the connecting plate 6, the moving plate 7 is parallel to the bottom plate 4, the threaded knob 8 penetrates the connecting plate 6 and is threadedly connected to the connecting plate 6, and the end of the threaded knob 8 is rotatably connected to the moving plate 7. When installing the face recognition integrated machine on the cash register, the front plate 5 is clamped on the front of the cash register, the bottom plate 4 is located on the cash register table, and the movable plate 7 is located on the back side of the cash register, that is, the side where the staff is located. The staff can screw in the threaded knob 8 by rotating the threaded knob 8, and the threaded knob 8 drives the movable plate 7 to slide toward the cash register until the movable plate 7 is pressed against the side of the cash register. At this point, the bottom plate 4 and the movable plate 7 are clamped on both sides of the cash register, completing the installation of the entire face recognition integrated machine, and the operation is very convenient.

[0081] The threaded knob 8 includes a knob portion and a screw portion, and a cylindrical folding cover a and a cylindrical folding cover b are sleeved on the outer periphery of the screw portion, one end of the cylindrical folding cover a contacts the knob portion, and the other end of the cylindrical folding cover a is connected to the connecting plate 6, and the two ends of the cylindrical folding cover b are respectively connected to the connecting plate 6 and the moving plate 7. The cylindrical folding cover a and the cylindrical folding cover b can be folded to shield and protect the inner screw portion to prevent foreign matter in the external air from affecting the normal screwing in or out.

[0082] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A multi-platform face recognition integrated machine for aggregated payment. It is characterized in that include: A database module for storing actual images (100) of user faces; A tracking camera ranging module (1) for rotating toward a middle point between the user's eyes to measure the distance to the middle point and photographing the user's face at the position to obtain a facial photographic image (200); A central controller that is communicatively connected to the tracking camera ranging module (1) to receive the position information of the middle point of the user's eyes collected by the tracking camera ranging module (1), the distance from the tracking camera ranging module (1) to the middle point of the user's eyes, and the facial image (200), and divides the facial image (200) in the length direction along the direction of the tracking camera ranging module (1) toward the middle point of the user's eyes to obtain two lengths, and outputs a control signal for driving the tracking camera ranging module (1) to rotate from a horizontal direction to an angle between the directions toward the middle point of the user's eyes; A rotation drive device (2) connected to the central controller for receiving control signals and driving the tracking camera ranging module (1) to rotate; A correction module that is connected to the central controller for communication to receive data on the distance between the tracking camera ranging module (1) and the middle point of the user's eyes, the length of the facial image (200) divided into two sections along the length direction, and the rotation angle of the tracking camera ranging module (1), and that scales the facial image (200) along the length direction according to the data to correct it into a facial correction image; as well as A verification module that is in communication with the correction module to receive the face correction image and compare and identify the face correction image with the actual face image (100); The calculation formula for the length L of the face correction image is: The facial image (200) is divided into two segments with lengths a and b respectively, T is the distance from the tracking camera ranging module to the middle point between the user's eyes, and α is the angle between the tracking camera ranging module rotating from the horizontal position to the position toward the middle point between the user's eyes.

2. According to claim 1, a multi-platform face recognition integrated payment machine, It is characterized in that The verification module pre-sets a difference threshold compared to the actual face image (100); When the difference between the face correction image and the actual face image (100) is within the difference threshold, it is determined that the captured face image (200) and the actual face image (100) are face data of the same user, and the face recognition verification is passed; When the difference between the face correction image and the actual face image (100) exceeds a difference threshold, it is determined that the captured face image (200) and the actual face image (100) are face data of different users, and the face recognition verification fails.

3. According to claim 2, a multi-platform face recognition integrated payment machine, It is characterized in that The verification module is communicatively connected to the payment module, the touch screen (31) and the display screen (41), and the touch screen (31) and the display screen (41) are communicatively connected to the central controller respectively.

4. According to claim 3, a multi-platform face recognition integrated payment machine, It is characterized in that It also comprises a rotating plate (3) and a bottom plate (4), wherein the rotating driving device (2) is arranged on the top of the rotating plate (3), the rotating plate (3) and the bottom plate (4) are connected in a damping rotation manner, the touch screen (31) is arranged on the rotating plate (3), and the display screen (41) is arranged on the bottom plate (4).

5. The multi-platform face recognition integrated machine for aggregated payment according to claim 4, It is characterized in that The invention also comprises a front plate (5), a connecting plate (6), a movable plate (7) and a threaded knob (8); the front plate (5) is arranged at the front end of the bottom of the bottom plate (4); the connecting plate (6) is connected to the rear end of the bottom of the bottom plate (4); the connecting plate (6) is an L-shaped plate structure; the movable plate (7) is slidably arranged at the bottom of the connecting plate (6); the movable plate (7) is parallel to the bottom plate (4); the threaded knob (8) penetrates the connecting plate (6) and is threadedly connected to the connecting plate (6); and the end of the threaded knob (8) is rotatably connected to the movable plate (7).

6. The multi-platform face recognition integrated machine for aggregated payment according to claim 5, It is characterized in that The threaded knob (8) comprises a knob portion and a screw portion. The outer periphery of the screw portion is provided with a cylindrical folding cover a and a cylindrical folding cover b. One end of the cylindrical folding cover a contacts the knob portion, and the other end of the cylindrical folding cover a is connected to the connecting plate (6). Both ends of the cylindrical folding cover b are respectively connected to the connecting plate (6) and the moving plate (7).

7. A payment method for the multi-platform face recognition integrated machine for aggregated payment according to claim 1, It is characterized in that The steps include: S1. The user stands in front of the face recognition integrated device; S2, the tracking camera ranging module (1) monitors the position of the middle point of the user's eyes and sends the position information of the middle point of the eyes to the central controller; S3, the central controller sends a control signal to the rotation drive device (2) to rotate to a desired angle according to the position information of the middle point of the user's eyes; S4, the rotation driving device (2) drives the tracking camera ranging module (1) to rotate from a horizontal direction to a position toward the middle point of the user's eyes; S5, the tracking camera ranging module (1) measures the distance from the tracking camera ranging module (1) to the middle point between the user's eyes and captures a facial image (200), and the central controller divides the facial image (200) along the direction from the tracking camera ranging module (1) to the middle point between the user's eyes to obtain two lengths; S6, the correction module scales the facial shot image (200) along the length direction according to the distance from the tracking camera ranging module (1) to the middle point of the user's eyes, the rotation angle of the tracking camera ranging module (1), and the lengths of the two segments obtained by dividing the facial shot image (200) to obtain a corrected facial correction image; S7, the verification module compares and identifies the face correction image with the actual face image (100); S8. After the comparison and identification is passed, the amount in the user's account is paid.

Images