2D-LDA: A statistical linear discriminant analysis for image matrix

Authors:
Ming Li;Baozong Yuan
Affiliations:
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China;Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
Venue:
Pattern Recognition Letters
Year:
2005

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Abstract

This paper proposes an innovative algorithm named 2D-LDA, which directly extracts the proper features from image matrices based on Fisher's Linear Discriminant Analysis. We experimentally compare 2D-LDA to other feature extraction methods, such as 2D-PCA, Eigenfaces and Fisherfaces. And 2D-LDA achieves the best performance.