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Improved neural network-based face detection method using color images

The paper describes some face detection algorithms using skin color segmentation, Haar-like features and neural networks. The segmentation using skin color labels promising input image areas that may contain faces. The usage of Haar-like features allows fast rejection of the majority of background. Then, the ensemble of retinally connected neural networks performs the final classification of the rest image windows using improved face search strategy across scale and position. The proposed search strategy applies inverse image scale pyramid, adaptive scanning step and window acceptance to decrease the number of windows which should be processed by the classifier.