Bank customer identification method and device, electronic equipment and product

By performing grayscale conversion and key point recognition on multi-frame head area images of bank customers, the problem of traditional bank self-service terminals relying on ID cards has been solved, achieving fast and accurate user identification and improving the efficiency of self-service and customer experience.

CN120954073APending Publication Date: 2025-11-14HENAN QIAOHAN INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510917194.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-03
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

Traditional bank self-service terminals rely on ID cards, which prevents customers from using self-service, resulting in low business flow efficiency. This can easily lead to queuing and congestion, especially during peak hours, affecting customer experience and branch operational efficiency.

Method used

By acquiring multiple frames of head region images, performing grayscale conversion, multi-threshold binarization processing, and connected component analysis, the left eye, right eye, and mouth regions are identified. The facial images are corrected based on the iris center point, and the key point distance ratio is calculated to determine the user's identity.

Benefits of technology

Accurately identifying key points in facial regions improves the ease of use of self-service, avoids queuing congestion, and enhances customer experience and operational efficiency.

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Abstract

The invention discloses a bank customer identification method and device, electronic equipment and a product, and relates to the technical field of face identification. Comprising; determining a left eye region, a right eye region and a mouth region in the head region grayscale image through grayscale image conversion, multi-threshold binarization processing, binary image merging and row connected domain analysis; the method comprises the following steps: determining a left eye iris center point coordinate and a right eye iris center point coordinate according to pixel point gray level distribution, carrying out plane rotation correction on each frame of head area gray level image, and then determining a lip point coordinate through horizontal integral projection; and finally, taking the lip point, the mouth region boundary point, the left eye region boundary point and the right eye region boundary point as facial recognition key points to obtain a plurality of groups of key point distances, and determining a bank customer recognition result of the target user based on a ratio of the plurality of groups of key point distances to binocular distances. According to the invention, the target user can be identified very conveniently and quickly, and the user can use self-service conveniently.
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