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Palmprint recognition through the fractal dimension estimation for texture analysis

Palmprint recognition through the fractal dimension estimation for texture analysis Palmprint is a human physiological feature which can distinguish and identify one person from another. In the palmprint recognition biometric systems, the feature extraction is considered as the most important step. In this paper, we use the fractal approach which is both a very advanced and sophisticated method in order to extract the palmprint texture information features. This approach has been widely used in recent years being considered as an active research area in the image processing field. Therefore, we have implemented a new technique to extract the palmprint texture features: the texture analysis basing on the fractal dimension estimated via the box-counting method or TAFD-BC. Experimental results on the PolyU 2D Palmprint database prove that our proposed approach produces promising and favourable results compared to other well-known state-of-the-art techniques. Keywords: biometric system; palmprint; texture analysis; fractal dimension; box counting; identification. Reference to this paper should be made as follows: Mokni, R. and Kherallah, M. (2016) `Palmprint recognition through the fractal dimension estimation for texture analysis', Int. J. Biometrics, Vol. 8, Nos. 3/4, pp.254­274. Biographical notes: Raouia Mokni graduated with a Master's in Computer Science from the University of Sfax, Tunisia in 2011. Currently, she is preparing her http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

Palmprint recognition through the fractal dimension estimation for texture analysis

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2016.082599
Publisher site
See Article on Publisher Site

Abstract

Palmprint is a human physiological feature which can distinguish and identify one person from another. In the palmprint recognition biometric systems, the feature extraction is considered as the most important step. In this paper, we use the fractal approach which is both a very advanced and sophisticated method in order to extract the palmprint texture information features. This approach has been widely used in recent years being considered as an active research area in the image processing field. Therefore, we have implemented a new technique to extract the palmprint texture features: the texture analysis basing on the fractal dimension estimated via the box-counting method or TAFD-BC. Experimental results on the PolyU 2D Palmprint database prove that our proposed approach produces promising and favourable results compared to other well-known state-of-the-art techniques. Keywords: biometric system; palmprint; texture analysis; fractal dimension; box counting; identification. Reference to this paper should be made as follows: Mokni, R. and Kherallah, M. (2016) `Palmprint recognition through the fractal dimension estimation for texture analysis', Int. J. Biometrics, Vol. 8, Nos. 3/4, pp.254­274. Biographical notes: Raouia Mokni graduated with a Master's in Computer Science from the University of Sfax, Tunisia in 2011. Currently, she is preparing her

Journal

International Journal of BiometricsInderscience Publishers

Published: Jan 1, 2016

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