Face Recognition Based on WT-2DICA and Improved Fisher Algorithm
Chunzhi Li · Jisuanji gongcheng · 2008
High-order statistical information can be extracted effectively with Two-dimensional Independent Component Analysis based on Wavelet-transform(WT-2DICA),but the method is not valid in the recognition of the damaged images.Improved Fisher method avoids small samples problem in traditional Fisher method by considering category information.Combined with the advantages of two algorithms,fusion projection direction is obtained,which integrates best projection direction from improved Fisher and independent basis subspace from WT-2DICA.Experimental results show that the fusion method is valid in face recognition.