Palmprint identification using FRIT

D. R. Kisku; A. Rattani; P. Gupta; C. J. Hwang; J. K. Sing

doi:10.1117/12.882517

31 May 2011 Palmprint identification using FRIT

D. R. Kisku, A. Rattani, P. Gupta, C. J. Hwang, J. K. Sing

Proceedings Volume 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011; 80630T (2011) https://doi.org/10.1117/12.882517
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

D. R. Kisku, A. Rattani, P. Gupta, C. J. Hwang, and J. K. Sing "Palmprint identification using FRIT", Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630T (31 May 2011); https://doi.org/10.1117/12.882517

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