Abstract
Face recognition is a popular research topic in the biometric identification area. Face detection and localization is the most important pre-processing module of a face recognition system. The purpose of face detection is to search and localize the positions of faces in an image in the varied background. In this paper, we propose a face detection system which combines the eigenface algorithm with the neural network. The candidate face region is examined to see if it is a face image block by analyzing the geometrical distribution of the edges in the region. In our experiments, the proposed face detection system has a high face detection rate and less false detections.
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