document: Human face detection in visual scenes using neural networks This paper presents a neural network based face detection system . Our objective is to design a system that can detect human faces in visual scenes at high searching speed and accuracy . We used a neural network with a simple structure but trained using face and non-face samples preprocessed by several methods -LRB- position normalization , histogram equalization , etc. -RRB- to attain high accuracy , then pruned the size of the neural network so that it could run faster and reduced the total search area of a target visual scene using the skin color detector . Skin color detection assumes that faces reside only in skin color regions . The system design is made up of two parts : the face detecting system that detects the faces , and the searching speed improving system . Speed improvement is achieved by reducing the face locator network size using the structural learning with knowledge and by reducing the face search area using the skin color detection system . Faster training of the neural networks was also achieved using variable step sizes
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