Title: Hand vein authentication system using connected minutiae neighbours

Authors: Munaga V.N.K. Prasad; Ilaiah Kavati

Addresses: Institute for Development and Research in Banking Technology (IDRBT), Castle Hills, Road No. 1, Masab Tank, Hyderabad-57, India ' Institute for Development and Research in Banking Technology (IDRBT), Castle Hills, Road No. 1, Masab Tank, Hyderabad-57, India

Abstract: This paper proposes an efficient personal authentication technique using hand vein patterns. A dynamic region of interest (ROI) extraction algorithm is presented through which more features can be extracted compared to the fixed ROI. The proposed system extracts the minutiae (bifurcation and end points) of the vein pattern after a series of preprocessing steps such as image enhancement, noise removal, binarisation and thinning. The system then computes the connected minutiae neighbours of each minutiae in the vein pattern. Finally, a matching algorithm that uses the minutiae neighbour information is applied for authentication. The proposed system is evaluated using a vein pattern database of 194 images. It has been found that the proposed algorithm has performed better compared to others and has been able to achieve an equal error rate of 1.2%.

Keywords: biometrics; hand vein authentication; region of interest; ROI extraction; binarisation; thinning; connected minutiae neighbours; personal authentication; hand vein patterns; image enhancement; noise removal.

DOI: 10.1504/IJTMCC.2014.067304

International Journal of Trust Management in Computing and Communications, 2014 Vol.2 No.3, pp.296 - 308

Received: 02 Nov 2013
Accepted: 05 May 2014
Published online: 21 Feb 2015 *

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