Human Face Detection Method Using Genetic Algorithm
Yuuki Yokoo, Masafumi Hagiwara · IEEJ Transactions on Electronics Information and Systems · 1997
To construct a face recognition system, facial regions should be detected before a face recognition process. A lot of studies have been made for the face recognition. However, the detection of facial region is still a difficult problem. In this paper, a novel method to detect human facial regions from an image with a complex background has been proposed. To detect human facial regions precisely, we employ the Genetic Algorithm (GA). First, the proposed method detects edges from an input image. Second, it searches ellipse regions using GA based on the idea that human faces can be approximated by ellipsoid. Finally, it judges whether the region is a human face or not one by one. We confirmed the validity and the effectiveness of the proposed method by computer simulations.