Real-time monitoring method for face image quality of customer collection terminal

Abstract

The invention discloses a method for real-time monitoring of the face image quality of a customer collection terminal, comprising the following steps: Step 1, face image collection; Automatically detect and segment the exact position of the face in the face image; step 3 comprehensively evaluates the face quality, and performs intelligent prompts and real-time intelligent monitoring of the image quality through the face image quality detection system for the acquisition process of the client's face image. The invention can effectively improve the accuracy of subsequent image comparison and reduce the false alarm rate (False Alarm Rate), thereby ensuring the reliability of identification information and making the intelligent monitoring system based on face recognition truly practical.

Description

technical field [0001] The invention relates to the technical field of identity recognition, in particular to a method for real-time monitoring of the face image quality of a customer acquisition terminal. Background technique [0002] In the field of biometrics, face recognition technology (Face Recognition Technology) has gradually attracted the attention of more and more industrial researchers. In recent years, with the rapid development of related technologies and the increasing actual demand, face recognition Many fields have broad application prospects. For example: face recognition technology is used as an auxiliary means in the judicial field, for identity verification, criminal identification, etc.; it also has many potential applications in business, such as bank credit card identification, security identification system, videophone, medicine, archives Management, hotel management, video conference human-computer interaction system, etc., can not only improve the ...

AI Technical Summary

Problems solved by technology

However, before the face image is compared with the face template in the background database, there is no real-time quality monitoring, analysis and processing program for the face image collected by the client, which makes the product not ideal in terms of stability. Changes in lighting, facial expressions, posture, decorations, distance and other conditions are very sensitive. When certain conditions change, the recognition effect will be greatly reduced, especially when the database scale is enlarged, the automatic recognition system cannot reasonably control the false alarm rate. Under certain circumstances, the identification results can be accurately searched, and even criminals can escape inspection, which greatly limits the popularization and large-scale application of intelligent monitoring systems based on face recognition in the field of public security and prevention.

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