Abstract—Face detection and localization in complex skin toned background is a highly challenging problem. In this paper, use of combination of color spaces and edge detection in red and green channels is proposed for segmenting out the skin-tone regions. Wavelet approximations are used for the extraction of prominent features of face. Experimental results are shown to yield the improved false acceptance rates (FAR) over the algorithms that either use grey scale image for segmentation and the algorithms that do not use any edge detection.
Index Terms—Face detection, localization, edge, wavelet, rand g channel.
H. C. Vijaylakshmi is with Sri Jayachamaranendra College of Engineering, Mysore. Karnataka, India (e-mail vijisjce@yahoo.co.in).
Dr. Sudarshan Patil Kulkarni is with JSS Research Foundation, SJCE, Mysore, Karnataka, India (e-mail pk.sudarshan@gmail.com).
Cite: H. C. VijayLakshmi and S. Patilkulkarni, "Face Detection in Skin-toned Images Using Edge Detection and Feature Extraction Using R and G Channels through Wavelet Approximation," International Journal of Computer Theory and Engineering vol. 5, no. 1, pp. 56-59, 2013.
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