A Dorsal Hand Vein Recognition-based on Local Gabor Phase Quantization with Whitening Transformation

  • K. Premalatha Bannari Amman Institute of Technology, Sathyamangalam
  • Anantha kumar T Bannari Amman Institute of Technology, Sathyamangalam
  • Natarajan A M Bannari Amman Institute of Technology, Sathyamangalam
DOI: https://doi.org/10.14429/dsj.64.4659
Keywords: Dorsal hand vein, gabor filter, phase quantization, decorrelation, whitening transformation

Abstract

The hand vein pattern is a biometric feature in which the actual pattern is the shape of the vein network and its characteristics are the vein features. This paper investigates a new approach for dorsal hand vein pattern identification from grey level dorsal hand vein information. In this study Gabor filter quadrature pair is employed to compute locally in a window for every pixel position to extract the phase information. The phases of six frequency coefficients are quantized and it is used to form a descriptor code for the local region. These local descriptors are decorrelated using whitening transformation and a histogram is generated for every pixel which describes the local pattern.  Experiments are evaluated on North China University of Technology  dorsal hand vein image dataset with minimum distance classifier and the results are analyzed for recognition rate, run time and equal error rate. The proposed method gives 100 per cent recognition rate and 1 per cent EER for fusion of both left and right hands.

Defence Science Journal, 2014, 64(2), pp. 159-167. DOI: http://dx.doi.org/10.14429/dsj.64.4659

Author Biographies

K. Premalatha, Bannari Amman Institute of Technology, Sathyamangalam

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

Anantha kumar T, 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 at Bannari Amman Institute of Technology, Erode, Tamil Nadu, India. His areas of interest include image processing, data mining and optimization techniques.

Natarajan A M, Bannari Amman Institute of Technology, Sathyamangalam

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

Published
2014-03-20
How to Cite
Premalatha, K., T, A. kumar, & A M, N. (2014). A Dorsal Hand Vein Recognition-based on Local Gabor Phase Quantization with Whitening Transformation. Defence Science Journal, 64(2), 159-167. https://doi.org/10.14429/dsj.64.4659
Issue
Vol 64 No 2
Section
Engineering Science & Technology
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