A face recognition algorithm based on combination of modular 2DPCA and NFA
Sheng Chen · Electronic Design Engineering · 2011
In this paper an improved face recognition algorithm is proposed based on the combination of modular 2DPCA and NFA because of NFA.NFA first transforms an image matrix to a vector which caused high dimensionality and computational complexity.In this paper the original images are divided into modular sub-images,then NFA is utilized on the new pattern which is obtained by modular 2DPCA to extract the final features from the sub-images.The new method considered the difference of between-classes and within-class while extracted local feature of the image,and make up the flaw of the PCA.The experimental results obtained on the facial database ORL and XM2VTS show that the recognition performance of the new method is superior to that of the primary method of LDA and NSA.