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2014 Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST
N. B. Mahesh Kumar, K. Premalatha
J. Appl. Math. 2014: 1-11 (2014). DOI: 10.1155/2014/918376

Abstract

Palmprint is the region between wrist and fingers. In this paper, a palmprint personal identification system is proposed based on the local and global information fusion. The local and global information is critical for the image observation based on the results of the relationship between physical stimuli and perceptions. The local features of the enhanced palmprint are extracted using discrete orthonormal Stockwell transform. The global feature is obtained by reducing the scale of discrete orthonormal Stockwell transform to infinity. The local and global matching distances of the two palmprint images are fused to get the final matching distance of the proposed scheme. The results show that the fusion of local and global features outperforms the existing works on the available three datasets.

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N. B. Mahesh Kumar. K. Premalatha. "Palmprint Authentication System Based on Local and Global Feature Fusion Using DOST." J. Appl. Math. 2014 1 - 11, 2014. https://doi.org/10.1155/2014/918376

Information

Published: 2014
First available in Project Euclid: 2 March 2015

Digital Object Identifier: 10.1155/2014/918376

Rights: Copyright © 2014 Hindawi

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