Abstract

AbstractThe advancement of face recognition systems is still restricted by the conditions achieved by several real applications even though current face recognition systems have attained a moderate level of maturity. A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against face databases. The proposed work introduces a novel approach for eliminating an illumination problem from the facial images using 4-patch Local Binary Pattern (4-patch-LBP) and then a Convolutional Neural Network (CNN) is used to recognize the faces. The method used showed an average recognition performance of 92.3% and a maximum performance of 96% with YouTube Face (YTF) Database.KeywordsFace recognitionLocal binary patternConvolutional neural network

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