A face recognition method and related equipment

Abstract

The embodiment of the invention discloses a face recognition method and related equipment, which are used for improving the performance of a face recognition system. The method provided by the embodiment of the invention comprises the following steps: obtaining an environment illumination condition; Determining an image acquisition target mode according to the environment illumination condition, wherein the target mode comprises a visible light mode and/or an infrared induction mode; Collecting image information in the target mode; Performing face recognition processing on the image information to obtain target face feature information; And matching a user corresponding to the target face feature information in a database. The target mode comprises a visible light mode and/or an infrared induction mode, so that compared with a single image recognition technology in the prior art, the method can flexibly use the visible light mode and/or the infrared induction mode to obtain image information, is more beneficial to image recognition and face feature extraction, and can improve the performance of a face recognition system.

Description

technical field [0001] The present application relates to the field of computer vision processing, in particular to a face recognition method and related equipment. Background technique [0002] Face recognition technology is a biometric technology for identity recognition based on human facial feature information. The key to various face recognition methods is to extract the essential features related to identity in face data, and at the same time eliminate the part affected by non-identity factors. Non-identity factors generally include: environmental lighting, posture, expression, accessories, etc. Among them, the lighting problem is the most important in practical applications. Users generally require that the face recognition system can adapt to different lighting environments. [0003] The traditional face recognition technology is mainly face recognition based on visible light images. This type of system is easily affected by changes in ambient light, and often requ...

AI Technical Summary

Problems solved by technology

Although near-infrared face recognition has obvious advantages over traditional visible light face recognition, there are still some problems in the use of active light sources: active light sources are not suitable for working in outdoor strong light environments during the day; active light sources will produce obvious reflections on the eyes , reducing the accuracy of eye positioning; cannot use a large number of existing visible light photos (such as: second-generation certificate photos, fugitive photo library, etc.), users need to rebuild the near-infrared photo library, which is time-consuming and laborious

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