Title: Palmprint identification and verification based on wide principal lines through dynamic ROI

Authors: Hemantha Kumar Kalluri; Munaga V.N.K. Prasad; Arun Agarwal

Addresses: CSE Department, Vignan's Foundation for Science Technology and Research (Deemed University), Guntur, India ' Institute for Development and Research in Banking Technology (IDRBT), Castle Hills, Masabtank, Hyderabad, India ' School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India

Abstract: In this paper, a novel palmprint identification and verification algorithm is proposed based on wide principal lines through dynamic ROI. Region of interest (ROI) extraction is an important task for palmprint identification. Earlier reported works used fixed size ROI for the recognition of palmprints. When the fixed size ROI is used the palm area taken up for recognition is less compared to dynamic ROI extraction. The proposed algorithm focuses on extraction of maximum possible ROI. A set of wide principal line extractors are devised. Later these wide principal line extractors are used to extract the wide principal lines from dynamic ROI. A two stage palmprint identification algorithm is proposed based on wide principal lines. The experimental results demonstrate that the proposed approach extracts better ROI on the PolyUPalmprint Database when compared to the existing fixed size and dynamic size ROI extraction techniques. The experimental results for the verification and identification on PolyUPalmprint Database show that the discrimination of wide principal lines is also strong.

Keywords: palmprints; biometrics; key points; midpoint; energy value; region of interest; dynamic ROI; principal lines; wide principal line extractor; palmprint verification; palmprint identification; ROI extraction.

DOI: 10.1504/IJBM.2015.069501

International Journal of Biometrics, 2015 Vol.7 No.1, pp.1 - 30

Received: 03 Jan 2014
Accepted: 24 Nov 2014

Published online: 19 May 2015 *

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