Face detection base on wavelet and fuzzy adjustment

Face detection is a famous work that recently considered for surveillence system especially 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. Skin color detection base on fuzzy gaussian filter accuracy adjustment 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. Fuzzy adjustment implemented by noise ratio that earned at this paper from noise profile that segmented by Wavelet transform. Easy implementation and high accuracy detection be feature of our work in compare with other works and indicate the superiority of our work.