Method for eliminating influence of glasses frame during human eye detection

Abstract

The invention relates to a method for eliminating the influence of a glasses frame during human eye detection. At present, the problem that the glasses frame interferes human eye positioning exists during human eye detection. According to the method and on the basis that an AdaBoost detecting algorithm is utilized to obtain human face eye areas, firstly, vertical and horizontal gray projection is applied to the eye areas and strip-shaped areas of the left eye and the right eye are obtained according to the inherent features of the glasses frame; secondly, initial binaryzation is conducted on the strip-shaped areas of the left eye and the right eye respectively, the quasi-circular features of irises and pupils of the human eyes are utilized to adjust binaryzation threshold values through application of self-adaptive binaryzation circle fitting, and binaryzation is conducted on the strip-shaped areas of the left eye and the right eye again; iteration processing is performed, wherein circle centers finally obtained through binaryzation image circle fitting conducted on the strip-shaped areas of the left eye and the right eye are position coordinates of the left eye and the right eye of the human face. The method fully excavates the structural information of eyes and utilizes the inherent features of the glasses frame, and human eye positioning errors caused by the glasses frame are effectively avoided.

Description

Technical field [0001] The invention belongs to the technical field of biometric identification and information security, and particularly relates to a method for eliminating the influence of spectacle frames in human eye detection. Background technique [0002] Biometric recognition technology is possible because of the inherent characteristics of biometrics (fingerprints, iris, face, etc.), which makes it possible to surpass and replace traditional identification technologies, and it has been promoted in specific application areas in some countries and regions. and use. Human eye recognition can recognize the observed target without being discovered, so that target recognition can be performed even when the target does not cooperate, so that the face recognition technology has the potential to build a safer social environment; As the key part of human face features, the human eye is an important basis for biometric identification. The accuracy of human eye detection and positi...

AI Technical Summary

Problems solved by technology

[0003] At present, there is no research on the elimination of the interference of the glasses frame to the positioning of the human eye in the published literature.