Rapid and brief communication: A theorem on the generalized canonical projective vectors

Authors:
Quan-Sen Sun;Zheng-dong Liu;Pheng-Ann Heng;De-Sen Xia
Affiliations:
Department of Computer Science, Nanjing University of Science & Technology, Nanjing 210094, China and Department of Mathematics, Jinan University, Jinan 250022, China;Department of Computer Science, Nanjing University of Science & Technology, Nanjing 210094, China;Department of Computer Science and Engineering, the Chinese University of Hong Kong, Hong Kong;Department of Computer Science, Nanjing University of Science & Technology, Nanjing 210094, China
Venue:
Pattern Recognition
Year:
2005

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Abstract

This paper proposes a kind of generalized canonical projective vectors (GCPV), based on the framework of canonical correlation analysis (CCA) applying image recognition. Apart from canonical projective vectors (CPV), the process of obtaining GCPV contains the class information of samples, such that the combined features extracted according to the basis of GCPV can give a better classification performance. The experimental result based on the Concordia University CENPARMI handwritten Arabian numeral database has proved that our method is superior to the method based on CPV.