Face Recognition Based on Feature Fusion and Boosting RBF Neural Network
基于多特征融合和BoostingRBF神经网络的人脸识别

A new face recognition method based on feature fusion was proposed. Firstly, face projection coefficient features were extracted by NMF methods. Then these features were combined with the face rotation invariance Zernike moments features so as to get a new feature which had higher discriminating power. With this new feature, RBF neural network is used to class the face. In order to improve the precision of the RBF neural network for face recognition, boosting algorithm is used to build an integration-neural...