Color face identification method based on RGB (red, green and blue) color feature double identification relevance analysis

Abstract

The invention discloses a color face identification method based on RGB (red, green and blue) color feature double identification relevance analysis. Identification analysis is applied in R, G, B (red, green and blue) color components and among the same, feature double identification analysis based on relevance is realized in each color component and among different color components, a large amount of identification information can be acquired, classification accuracy is high, and identification capacity is high. The color face identification method based on RGB (red, green and blue) color feature double identification relevance analysis includes: defining intra-class feature relevance matrix and inter-class feature relevance matrix in each training sample set and intra-class feature relevance matrix and inter-class feature relevance matrix among color component training sample sets; defining target function and solving the same to obtain projected training sample feature sets; and obtaining projected test sample features according to the projected training sample feature sets, calculating relevance from the test sample features to the training sample features and classifying the same to a category in which the training sample with the largest relevance is.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a color face recognition method based on dual discrimination correlation analysis of RGB color features. Background technique [0002] In recent years, with the development of society, the demand for fast and effective automatic identity verification has become increasingly urgent in all aspects, and the huge application prospects in public security criminal identification, security verification, security verification system, credit card verification, etc. have become more and more current models. A research hotspot in the field of recognition and artificial intelligence. Because biological characteristics are the inherent attributes of human beings, they have strong self-stability and individual differences, so they are the most ideal basis for identity verification. Among them, the use of facial features for identity verification is the most natural and di...

AI Technical Summary

Problems solved by technology

Different measurement methods affect the recognition effect in different ways, and the inconsistency of this measurement method also makes it difficult to guarantee the recognition effect

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