Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved face recognition technique based on modular PCA approach
Pattern Recognition Letters
2D and 3D face recognition: A survey
Pattern Recognition Letters
Journal of Cognitive Neuroscience
Face Recognition Based on Wavelet Transform Weighted Modular PCA
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04
A Novel Hybrid Approach Based on Sub-pattern Technique and Extended 2DPCA for Color Face Recognition
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
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In this paper we propose a novel Rearranged Modular 2DPCA (Rm2DPCA) algorithm for face recognition. In the proposed algorithm, the original images are first divided into modular images. Then, the sub-images are rearranged to form a 2D matrix. A covariance matrix is constructed directly using all the arranged matrices, and its eigenvectors are derived for image feature extraction. Experiments compared with other similar approaches show that this method has two advantages: One is its better recognition performance, the other is less computational cost.