Face Recognition Based on Rough Set Reduction and Neural Network Ensemble
基于粗糙集属性约减和神经网络集成的人脸识别技术

An attributes reduction method based on rough set is applied to the result of the PCA method, and the recognition process uses neural network ensemble. Experimental results show that the recognition accuracy of the proposed method is almost the same as that of methods using PCA only, whereas the number of the former's attributes is much smaller than that of the latter's, which will decrease the complexity of the recognition process.