Face recognition method and system for storing identification photo based on second-generation identity card

Abstract

The invention relates to a face recognition method and system for storing an identification photo based on a second-generation identity card. The method comprises an information acquisition step, a picture processing step, a face detection step and a face verification step, wherein the face verification process comprises the following specific steps of: firstly judging local features based on a face recognition method of a binary mode, and then judging global features based on a face recognition method of a feature face; and combining the local feature judgment and the global feature judgment to verify whether the current person is the declarant, thus effectively solving the problem that the small photo in a second-generation identity card and an on-site snapped face photo can not be directly compared in the prior art. The recognition system using the method comprises an information acquisition subsystem, a data processing and analysis subsystem, a monitoring information storage subsystem and a monitoring information management and inquiry subsystem, and can effectively improve the work efficiency of implementing the real-name system.

Description

technical field [0001] The invention relates to the field of security technology, in particular to a face recognition method and a recognition system based on a second-generation ID card for storing certificate photos. Background technique [0002] Face recognition technology is a technology that uses computers to analyze face images and extract effective information from face images for identity recognition. Face recognition technology is a very active research field involving multiple disciplines, and it is widely used. Compared with other biometric recognition technologies, it has great advantages. [0003] The research on face recognition methods has been very in-depth. For example, the Eigenface method (Eigenface), first proposed by Turk and Pentland, is a face recognition and description technology derived from Principal Component Analysis (PCA). The image area containing the face is regarded as a random vector, and the base corresponding to the larger eigenvalue has ...

AI Technical Summary

Problems solved by technology

It should be noted that this solution must use a scanner to obtain a higher-resolution ID card, and then compare the scanned image with the photo stored in the second-generation ID card and the photo taken by the camera, instead of directly storing the image in the ID card. To compare the photos with the photos taken, in terms of hardware implementation, a scanning device must be added, which must rely on the resolution of the scan, so the recognition rate is not high

Images