パターンマッチングを用いた顔画像照合の一検討 : 画像応用

抄録

Human face recognition (HFR) is important in many applications, such as access control and criminal identification. The recognition process in brain involves highly complex human psychological processing. So, the mechanism is still unknown. For constructing a practical system of HFR, it is necessary to develop the algorithm of stable and accurate face features extraction and the usable compound recognition process. We had developed a method for feature extraction of face image using multi-resolution image processing and Hough transform. In this paper, a method of human face identification using this algorithm and pattern matching is discribed and a face image generation system is proposed.