Title :
Face Recognition Based on Fusion of 2DLDA and Points of Interest
Author_Institution :
Dept. of Digital Technol., Jiangxi Inst. of Technol., Nanchang, China
Abstract :
The application of face recognition, two-dimensional linear discriminant analysis ( 2DLDA ) method has good classification results. Density of the interest point detection is based on weighted calculation on the image. The characteristics of the target image with weight is more obvious, and not easy to be influenced by perspective and shape change. Then it is combined with 2DLDA to identify face database. The experimental results show that this method in comparison with the 2DPCA method achieves high recognition rate.
Keywords :
face recognition; image fusion; principal component analysis; shape recognition; visual databases; 2DLDA fusion; 2DLDA method; face database; face recognition; two-dimensional linear discriminant analysis; weighted calculation; Brightness; Classification algorithms; Face; Face recognition; Feature extraction; Linear discriminant analysis; Training; 2DLDA; face recognition; interest point; recognition rate;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.31
