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A Study on Automatic Detection of The Face and Facial Features for Face Recognition System in Real Time  

구자일 (부천대학 전자과)
홍준표 (인하대학교 전자공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TE / v.39, no.4, 2002 , pp. 379-388 More about this Journal
Abstract
In this paper, the real-time algorithm is proposed for automatic detection of the face and facial features. In the face region, we extracted eyes, nose, mouth and so forth. There are two methods to extract them; one is the method of using the location information of them, other is the method of using Gaussian second derivatives filters. This system have high speed and accuracy because the facial feature extraction is processed only by detected face region, not by whole image. There are some kinds of good experimental result for the proposed algorithm; high face detection rate of 95%, high speed of lower than 1sec. the reduction of illumination effect, and the compensation of face tilt.
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