Face recognition method based on reference features

Abstract

The invention discloses a face recognition method based on reference features. The method comprises the following steps that: scale invariant features and local binary pattern features of a face image to be recognized are extracted; a principal component analysis method is utilized for dimensionality reduction to obtain the image features of the face image to be recognized; the similarity of the image features to a cluster center is calculated by utilizing the obtained image features to obtain the reference features of the face image to be recognized; and the similarity of the reference features of the face image to be recognized and the reference features of training data concentration is calculated to obtain an analysis result. The reference features of the face image provided by the invention comprise texture information and structure information of the face image, so that the method provided by the invention can more comprehensively represent the face compared with the method in the prior art, which only represents the texture information or the structure information of the face. The process of feature extraction is simple and easy to realize; the recognition result is highly precise; high recognition rate of different facial gestures of the same person is realized.

Description

technical field [0001] The invention belongs to computer vision technology and relates to a face recognition method based on reference features. Background technique [0002] As public security issues are receiving more and more attention from society, the research on face recognition technology has been highly valued by academia, business circles and the government. Face recognition technology is an emerging technology. Research on this technology began in the late 1960s, and it is only about fifty years away from now. It was in the late 1990s that face recognition technology really gained attention. The emergence of some commercial face recognition systems opened a new era of research and application of face recognition technology. In my country, the research on face recognition technology started relatively late, and commercial face recognition technology is not yet mature enough. However, due to the social impact caused by major public safety accidents in recent years, ...

AI Technical Summary

Problems solved by technology

Face recognition has this feature. It completely uses visible light to obtain face image information. Unlike fingerprint recognition or iris recognition, it needs to use electronic pressure sensors to collect fingerprints or collect iris images at close range. These special collection methods are very easy. be detected and thus more likely to be deceived by a disguise

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