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

Abstract

The invention discloses a color face identification method. Identification analysis is applied in R, G, B (red, green and blue) color components and among the same, feature double identification analysis based on Euclidean distance 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 analysis includes: acquiring training sample sets first, and defining intra-class feature distribution matrix and inter-class feature distribution matrix in each training sample set and intra-class feature distribution matrix and inter-class feature distribution 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 Euclidean distance from the test sample features to each training sample feature and classifying the same.

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 analysis of RGB color features. Background technique [0002] Face recognition refers to the identification process in which the computer makes a judgment of identity in the test image after matching and comparing the newly obtained image with the existing image library in the computer according to a certain algorithm. Face recognition research is a discipline that spans image processing, pattern recognition, computer vision, neurophysiology, psychology and other research fields. Face recognition research has been very active in the past ten years, and it is one of the four major research hotspots in the field of image engineering. It is a part of biometric technology. Biometric technology refers to the identification of identity through the digital measurement of human body characteristics. Featu...

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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