Hand Vein Pattern Recognition using Natural Image Statistics

  • T. Anantha kumar Bannari Amman Institute of Technology, Sathyamangalam
  • K. Premalatha Bannari Amman Institute of Technology, Sathyamangalam
  • A.M. Natarajan Bannari Amman Institute of Technology, Sathyamangalam
DOI: https://doi.org/10.14429/dsj.65.7312
Keywords: Biometrics, dorsal hand vein, natural image statistics, LBP, LPQ

Abstract

Biometrics is the science of identifying a person using physiological or behavioural characteristics. Hand vein pattern is a recent and unique biometric feature which is used for high secure authentication of individuals. The dorsal hand contains dorsal metacarpal veins, dorsal venous network, cephalic vein and basilic vein.  This paper presents an image descriptor which uses statistical structure of natural images. In this work, stack of natural image patches are used as filters and these transform an image into integer labels describing the small-scale appearance of the image. These labels are converted into histogram and it is used for further image analysis. The feature space contains binarized statistical image features. The proposed work is tested on NCUT dataset with state-of-the-art algorithms. The experimental results demonstrate that the proposed work outperforms of the state-of-the-art algorithms with the recognition rate of 99.80 per cent.

Defence Science Journal, Vol. 65, No. 2, March 2015, pp.150-158, DOI:http://dx.doi.org/10.14429/dsj.65.7312

Author Biographies

T. Anantha kumar, Bannari Amman Institute of Technology, Sathyamangalam

Mr T. Anantha Kumar received his BE (Computer Science and Engineering) from Anna University, Chennai, in 2006 and ME (Computer Science and Engineering) from Anna University of Technology, Coimbatore, in 2009. He is currently working as a Senior Research Fellow for the DRDO sponsored project at Bannari Amman Institute of Technology, Erode, Tamil Nadu. His areas of interest include image processing, data mining and optimisation techniques.

K. Premalatha, Bannari Amman Institute of Technology, Sathyamangalam

Dr K. Premalatha is currently working as a Professor in the Department of Computer Science and Engineering at Bannari Amman Institute of Technology, Erode, Tamil Nadu. She did her PhD in Computer Science and Engineering (CSE) from Anna University, Chennai. Her research interests include data mining, image processing, information retrieval and soft computing.

A.M. Natarajan, Bannari Amman Institute of Technology, Sathyamangalam

Dr A.M. Natarajan is currently working as Chief Executive at Bannari Amman Institute of Technology, Erode, Tamil Nadu. He received BE, MSc and PhD from the PSG College of Technology, Coimbatore, India. He has more than 40 years of experience in Academic-Teaching, Research and Administration. He had published more than 70 papers in National and International Journals and has authored 10 Books. His research areas of interest include image processing, data mining, and soft computing.

Published
2015-04-21
How to Cite
kumar, T., Premalatha, K., & Natarajan, A. (2015). Hand Vein Pattern Recognition using Natural Image Statistics. Defence Science Journal, 65(2), 150-158. https://doi.org/10.14429/dsj.65.7312
Issue
Vol 65 No 2
Section
Engineering Science & Technology
Copyright (c) 2016 Defence Science Journal

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