Robust face recognition by Gabor features and model adaptation
Jianping Li · Jisuanji yingyong yanjiu · 2008
This paper proposed a robust face recognition algorithm based on Gabor wavelet representations and model adaptation.The models used in this work were from linear associative memory method and fast compensated by adaptively learning from the given facial data,which were obtained in same condition as testing.The proposed adaptation algorithm is incremental.It has low time and space complexity.By compensating models,this method can efficiently reduce the mismatch between models and testing data,substantially improving the performance of classifier.The new recognition method was tested using two widely used face datasets:ATT and MIT-CBCL face database.Results indicate that the algorithm is effective.And due to the computational simplicity,the algorithm is also efficient.