doi: 10.7763/IJCTE.2013.V5.646
Face Detection in Skin-toned Images Using Edge Detection and Feature Extraction Using R and G Channelsthrough Wavelet Approximation
H. C. VijayLakshmi1
,
S. Patilkulkarni2
- 1Sri Jayachamaranendra College of Engineering, Mysore. Karnataka, India.
- 2JSS Research Foundation, SJCE, Mysore, Karnataka, India.
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.
Keywords
- Face detection
- localization
- edge
- wavelet
- rand g channel
How to Cite
H. C. VijayLakshmi and S. Patilkulkarni, "Face Detection in Skin-toned Images Using Edge Detection and Feature Extraction Using R and G Channelsthrough Wavelet Approximation," International Journal of Computer Theory and Engineering, vol. 5, no. 1, pp. 56-59, 2013. https://doi.org/10.7763/IJCTE.2013.V5.646
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).