Dynamic ROI extraction algorithm for palmprints

Authors:
Hemantha Kumar Kalluri;Munaga V. N. K. Prasad;Arun Agarwal
Affiliations:
CSE Department, Vignan University, Vadlamudi, India;IDRBT, MasabTank, Hyderabad, India;Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, India
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2012

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Abstract

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 compared to existing fixed and dynamic ROI extraction techniques [7, 19]. The experimental results demonstrate that the proposed approach extracts better ROI on three databases, 1. The PolyU Palmprint Database, 2. CASIA Palmprint Image Database and 3. IIT Delhi Palmprint Database, when compared to the existing fixed size and dynamic size ROI extraction techniques.