Abstract—robust face detection in complex background is a challenging task. The complexity in such detection systems stems from the variances in image background, view, illumination, articulation, and facial expression. This article is allocated to introducing a new algorithm for face detection. Fuzzy skin color detection and template matching composed our method instrument. At this paper non-skin parts in the pictures omitted firstly and then result passed to template matching section. Easy implementation and high accuracy detection be feature of our work in compare with other works and indicate the superiority of our work.

Index Terms—face detection, fuzzy, template matching, mamdani, skin detection

Abbas Nasrabadi is with the Mechatronics Engineering Department,Tarbiat Moallem University of Sabzevar, Sabzevar, Iran,abbas.nasrabadi@gmail.com.
Javad Haddadnia is with the Electrical Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran, jhaddadnia@yahoo.com

Cite: Abbas Nasrabadi and Javad Haddadnia, "Skin Color Segmentation by Fuzzy Filter Applied to Face Detection," International Journal of Computer and Electrical Engineering vol. 2, no. 6, pp. 1039-1042, 2010.