Title: Palm vein pattern-based biometric recognition system

Authors: Gunjan Shah; Sagar Shirke; Sonam Sawant; Yogesh H. Dandawate

Addresses: Department of Electronics and Telecommunications, Vishwakarma Institute of Information Technology, Pune, 411048, India ' Department of Electronics and Telecommunications, Vishwakarma Institute of Information Technology, Pune, 411048, India ' Department of Electronics and Telecommunications, Vishwakarma Institute of Information Technology, Pune, 411048, India ' Department of Electronics and Telecommunications, Vishwakarma Institute of Information Technology, Pune, 411048, India

Abstract: Palm vein-based biometric authentication system aims to recognise individuals from their unique palm vein structure which is next to impossible to duplicate owing to the fact that palm veins are present in the subsurface of the skin and not apparent under visual light. The aim of the proposed work is to develop a low cost but efficient system for acquiring images of the veins, processing these images and matching using various algorithms. Images have been acquired using a web camera and an infrared LED illumination that highlights the veins. The region of interest (ROI) is extracted from the images and then processed. Three techniques for matching are proposed. Principal component analysis (PCA), 2D-wavelet based feature and template designed exclusively for palm vein ROI is applied over ROI for matching. The accuracy of the each algorithm is deduced to compare the three algorithms. The highest accuracy achieved is 93.54% using template matching technique.

Keywords: biometrics; palm vein patterns; infrared LED; 2D wavelet transform; template matching; PCA; principal component analysis; biometric authentication; palm veins; image processing.

DOI: 10.1504/IJCAT.2015.068921

International Journal of Computer Applications in Technology, 2015 Vol.51 No.2, pp.105 - 111

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 20 Apr 2015 *

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