[0017] To make the technical solutions and advantages of the present invention clearer, the following describes the technical solutions in the embodiments of the present invention clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention:
[0018] Such as figure 1 The illustrated online banking payment system based on face recognition includes an image acquisition device 1 and a control system 3 and an online system 4 that are used in conjunction with the image acquisition device 1. The online system 4 communicates with the payment system for data, so The image acquisition device 1 communicates wirelessly with the control system 3, and the control system 3 establishes a hypertext transfer protocol (HTTP) with the online system 4 for data communication;
[0019] The control system 3 includes a payment request unit 6 and a reply unit 9; in the working state: when a user needs online banking payment, the payment request unit 6 entering the system sends a request message, and the control system 3 converts the payment data information into The online system 4 can recognize the hypertext transfer protocol information, and sends the information to the online system 4. The online system 4 receives the request information and sends a message agreeing to the application to the control system 3. The reply unit 9 receives the information and sends the image The device 1 sends out the information of consent to the application, the image acquisition device 1 collects the user's facial image information and transmits it to the control system 3. The control system 3 verifies the user's facial information and determines whether the user can enter the online system 4 Make a payment operation.
[0020] Further, such as figure 2 As shown, the image acquisition device 1 includes a light source 11 and an image sensor 12, and an infrared filter 13 is provided on the image sensor 12. In the actual face image acquisition, the selection of the light source is very important, it directly affects the quality of the image, because the face image is greatly affected by the light, but it cannot be acquired in a closed environment. Therefore, in order to collect an accurate face image, the light source 11 of this system uses an infrared light emitting diode with a wavelength of 850 nm as a light source, and arranges a plurality of infrared light emitting diodes into an array as a surface light source. A total of 4 such light sources are used, with 2 on the left and right, so that the collected face information is more accurate. When the user opens the online banking with his bank card, the image acquisition device 1 is used to collect the user's facial image information, and is processed by the control system and stored in the storage module 23.
[0021] Further, such as image 3 As shown, the control system 3 also includes a processing unit 2 and a display unit 5 that displays the user's face image information. The display unit 5 is used to display the face image and the user's identity information.
[0022] Further, the processing unit 2 includes a wireless communication module 21 for receiving face image information transmitted by the image acquisition device 1, a processing module 22 for processing image information, a storage module 23 for storing image information, and a user inputting again A verification module 24 for verifying facial image information. When the user enters the face image again and requests to enter the bank's payment system, the verification module 24 calls the image stored in the storage module 23 for comparison. If the image information is consistent after the comparison, the verification module 24 informs the online system of the user's identity Yes, after verification, the user does not need to input bank card number and ID number and other information to directly communicate with the payment system, and the payment is successful.
[0023] Further, the processing module 22 receives the image information of the human face transmitted by the image acquisition device 1, and uses the difference method and image mapping conversion to process the collected images to obtain clear image data.
[0024] Further, the control system 3 also includes an alarm unit 7 and a wireless communication module I8. When the image information received by the processing module 22 does not match the data information in the storage module 23, the verification module 24 notifies the alarm unit 7 to issue an alarm signal. And send information to the wireless communication module I8, and the wireless communication module I8 communicates data with the user's mobile phone. If the verification module 24 calls the image stored in the storage module 23 for comparison, and if the image information is inconsistent after the comparison, the verification module 24 informs the online system that the information entered by the user does not match the identity, and the user cannot pass the verification and cannot enter the payment system to proceed. The payment is made, and the information is transmitted to the user's mobile phone through the wireless communication module I8 to notify the user.
[0025] Further, the light source 11 is an infrared light emitting diode.
[0026] The online banking payment system based on face recognition disclosed in the present invention eliminates the need for users to input identity information such as bank card numbers and passwords in the prior art when conducting online banking transactions, and users can directly input facial image information again. It not only saves the user's time but also has good security.
[0027] The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited to this. Anyone familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution of the present invention Equivalent replacements or changes to its inventive concept should all fall within the protection scope of the present invention.
