MATEC Web of Conferences
Volume 22, 2015International Conference on Engineering Technology and Application (ICETA 2015)
|Number of page(s)||9|
|Section||Information and Communication Technology|
|Published online||09 July 2015|
Adaptive Skin Color Detection Based on Human Face under Complex Background
College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
Beijing Technology and Business University, Beijing, China
Traditional skin color detection technique has a weak anti-interference ability against the pixels with color similar to skin under a complex background, and cannot reduce the influence of illumination on the characteristics of skin color. In this study, an adaptive skin color detection method is proposed to tackle the issues. The skin section containing illumination information is extracted by combining the face detection methods proposed by Haar and Adaboost, and using the improved binarization algorithm. Then, combining the best threshold of luminance component (Y) of skin color samples obtained after training in the YCbCr space, the improved histogram backprojection method is adopted to detect the skin color of the whole image. Experiments show that the method is robust under complex background and the influence of illumination. Moreover, the method has a higher accuracy and recall rate than traditional skin color detection methods.
Key words: Skin detection / Local binarization / Adaptive threshold / Histogram back projection
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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