Recongition Method for a Large Number of Human Faces With Adaptive Learning Algorithm and Identification by Eye

Abstract

Recognition method for a large number of human faces is proposed; Category classification is executed based on KL coefficients of face images, and then an operator identifies the subject with eye by comparing the input face image with reproduced images of the selected category. We propose a new adaptive learning algorithm for the base vectors of KL expansion to be calculated for a large number of human faces. The vectors are successively adjusted for a new face image. Adaptive Resonance Architecture (ART 2) is used as a category classification. This method is applied to 514 face images obtained from 58 persons, and its availability is indicated.