Face Detection base on wavelet and fuzzy adjustment
Face detection is a famous work that recently considered for surveillence system especialy in complex background is a cballenging 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 com posed our m ethod 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
face detection fuzzy adjustment Wavelet transform template matching
Abbas Nasrabadi Javad Haddadnia
Electrical Engineering Department Tarbiat Moallem University of Sabzevar Sabzevar, Iran
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
748-751
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）