Face Detection Method Based on Skin Color and AdaBoost Algorithm

Aiming at the human face detection in color images under complex background, a face detection method based on the combination of skin color model in YCgCr and AdaBoost algorithm is proposed in this article. Firstly, it uses skin color model in YCgCr color space to detect candidate face region in the tested image, and then further verifies the face region by the Adaboost algorithm with the added new feature. Experimental results show that the method can effectively improve the human face detection efficiency in complex background and significantly reduce the false detection rate.

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