Face recognition approach based on symmetrical scatter matrix space
Jiangli Zhang · Jisuanji yingyong yanjiu · 2010
To solve the small sample size problem efficiently,proposed a matrix transform on the basis of linear subspace theory,by which constructed a new linear symmetrical subspace of within-class scatter matrix.By the Fisher's discriminant crite-rion,derived two solution spaces from the within-class scatter matrix and respectively utilized its corresponding symmetrical subspace to obtain the efficient discriminatory information of the samples.Therefore,overcame the shortcoming of final dimensionality of features obtained by Fisher's discriminant analysis was limited by the number of classes.Experimental results conducted on the NUST603 and ORL face databases demonstrate the effectiveness of the proposed method.