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Efficient palmprint identification using novel symmetry filter and alignment refinement

Efficient palmprint identification using novel symmetry filter and alignment refinement This paper presents a robust algorithm for line orientation code-based palmprint identification in which we propose a novel symmetry filter and an efficient alignment refinement technique. The main idea of the symmetry filter is to compute the approximate magnitude of the Gabor filter based on the modified finite Radon transform (MFRAT), the so-called GMFRAT filter. The advantages of GMFRAT filters are that: 1) they are capable of quickly computing orientation codes; 2) they remarkably reduce remarkably the sizes of these features. The alignment refinement technique, which uses local orientation patterns, is also proposed to solve the problem of rotations and translations caused by an imperfect preprocessing phase. Based on our alignment refinement, the matching algorithm is designed. The experimental results obtained using the public databases of the Hong Kong Polytechnic University and the Indian Institute of Technology Delhi demonstrate the effectiveness of the proposed method. Keywords: palmprint recognition; modified finite radon transform; MFRAT; Gabor filter; GMFRAT filter; alignment refinement. Reference to this paper should be made as follows: Van, H.T., Le, T.H. and Dinh, T.B. (2015) ` using novel symmetry filter and alignment refinement', Int. J. Biometrics, Vol. 7, No. 3, pp.213­225. Biographical notes: Hoang Van received his http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

Efficient palmprint identification using novel symmetry filter and alignment refinement

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Publisher
Inderscience Publishers
Copyright
Copyright © 2015 Inderscience Enterprises Ltd.
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2015.071943
Publisher site
See Article on Publisher Site

Abstract

This paper presents a robust algorithm for line orientation code-based palmprint identification in which we propose a novel symmetry filter and an efficient alignment refinement technique. The main idea of the symmetry filter is to compute the approximate magnitude of the Gabor filter based on the modified finite Radon transform (MFRAT), the so-called GMFRAT filter. The advantages of GMFRAT filters are that: 1) they are capable of quickly computing orientation codes; 2) they remarkably reduce remarkably the sizes of these features. The alignment refinement technique, which uses local orientation patterns, is also proposed to solve the problem of rotations and translations caused by an imperfect preprocessing phase. Based on our alignment refinement, the matching algorithm is designed. The experimental results obtained using the public databases of the Hong Kong Polytechnic University and the Indian Institute of Technology Delhi demonstrate the effectiveness of the proposed method. Keywords: palmprint recognition; modified finite radon transform; MFRAT; Gabor filter; GMFRAT filter; alignment refinement. Reference to this paper should be made as follows: Van, H.T., Le, T.H. and Dinh, T.B. (2015) ` using novel symmetry filter and alignment refinement', Int. J. Biometrics, Vol. 7, No. 3, pp.213­225. Biographical notes: Hoang Van received his

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2015

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