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Efficient Face Detection based on Skin Color Model  

Baek, Young-Hyun (Department of Electrical Electronic and Information Eng., Wonkwang University)
Publication Information
Abstract
Skin color information is an important feature for face region detection in color images. This can detect face region using statistical skin color model who is created from skin color information. However, due to the including of different race of people's skin color points, this general statistical model is not accurate enough to detect each specific image as we expected. This paper proposes method to detect correctly face region in various color image that other complexion part is included. In this method set face candidate region applying complexion Gausian distribution based on YCbCr skin color model and applied mathematical morphology to remove noise part and part except face region in color image. And achieved correct face region detection because using Haar-like feature. This approach is capable to distinguish face region from extremely similar skin colors, such as neck skin color or am skin color. Experimental results show that our method can effectively improve face detection results.
Keywords
skin color information; color model; face detection; mathematical morphology; Haar-like feature;
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Times Cited By KSCI : 1  (Citation Analysis)
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