Abstract
Face detection, as one of the most basic research subjects in face image processing, has an important significance and a broad application in vision image processing, pattern recognition, video surveillance and other fields. But there are still many problems need to be further studied. For example, attitude, illumination, occlusion, facial expression and other factors still seriously affect the effect of face detection. A kind of face detection algorithm is proposed based on improved neural network and fast Adaboost. Skin color segmentation based on improved neural network is used to complete the preliminary located faces firstly. Then these areas are input into fast Adaboost classifier. The experiment results show that the proposed scheme has higher detection rate and lower error detection rate, which can provide certain reference for the realization of actual human face detection system.
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