Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Database-friendly random projections: Johnson-Lindenstrauss with binary coins
Journal of Computer and System Sciences - Special issu on PODS 2001
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2D)2LDA: An efficient approach for face recognition
Pattern Recognition
Journal of Cognitive Neuroscience
Chaos and NDFT-based spread spectrum concealing of fingerprint-biometric data into audio signals
Digital Signal Processing
2D-LDA: A statistical linear discriminant analysis for image matrix
Pattern Recognition Letters
Robust classifiers for data reduced via random projections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Realtime training on mobile devices for face recognition applications
Pattern Recognition
Two-Dimensional Random Projection for Face Recognition
PCSPA '10 Proceedings of the 2010 First International Conference on Pervasive Computing, Signal Processing and Applications
Hi-index | 0.00 |
2DRP (two-dimensional random projection) is two-dimensional extension of one-dimensional RP (random projection) to keep biometric images from being reshaped to vectors before RP for recognition. We propose a novel method called (2D)2RP (two-directional two-dimensional random projection) for feature extraction of biometrics. (2D)2RP directly projects the image matrix from high-dimensional space to low-dimensional space to extract optimal projective vectors at row-direction and column-direction. (2D)2RP, similar to RP, can also avoid the problems of singularity, SSS (small sample size) and over-fitting; furthermore it has much less storage and computational cost than RP. Besides, the variations of (2D)2RP combined with 2DPCA and 2DLDA are developed. Experimental results and comparison discussion among (2D)2RP and its variations on face and palmprint databases confirm the performance and effectiveness of (2D)2RP and its variations.