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Proceedings Paper

Palmprint identification using FRIT
Author(s): D. R. Kisku; A. Rattani; P. Gupta; C. J. Hwang; J. K. Sing
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Paper Abstract

This paper proposes a palmprint identification system using Finite Ridgelet Transform (FRIT) and Bayesian classifier. FRIT is applied on the ROI (region of interest), which is extracted from palmprint image, to extract a set of distinctive features from palmprint image. These features are used to classify with the help of Bayesian classifier. The proposed system has been tested on CASIA and IIT Kanpur palmprint databases. The experimental results reveal better performance compared to all well known systems.

Paper Details

Date Published: 31 May 2011
PDF: 9 pages
Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630T (31 May 2011); doi: 10.1117/12.882517
Show Author Affiliations
D. R. Kisku, Asansol Engineering College (India)
A. Rattani, Univ. degli Studi di Cagliari (Italy)
P. Gupta, Indian Institute of Technology Kanpur (India)
C. J. Hwang, Texas State Univ. San Marcos (United States)
J. K. Sing, Jadavpur Univ. (India)

Published in SPIE Proceedings Vol. 8063:
Mobile Multimedia/Image Processing, Security, and Applications 2011
Sos S. Agaian; Sabah A. Jassim; Yingzi Du, Editor(s)

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