A face recognition method of integrated technology

Ma Ning, Zhiyan Wang

COMPUTER MODELLING&NEW TECHNOLOGIES 2014 18(12B) 146-150

College of computer science and technology, JilinUniversity, ChangChun 130012, China

In this paper, based on the study of the Two-Dimensional Principal Component Analysis (2DPCA),Two-Dimensional Principal Component Analysis (2DPCA) and fuzzy set theory, we propose a new face recognition algorithm integrating 2DDCT,2DPCA and fuzzy 2DLDA. This method can make good use of the advantages of each single method, and also can make up for the defect of each other. The comparison of the results of the different methods identification effect on the ORL,YALE and FERET face database show, the integrated method proposed in this paper improves the recognition rate, and it also reduces the training and classification time as well.