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Proceedings Paper

Palmprint verification using Lagrangian decomposition and invariant interest points
Author(s): P. Gupta; A. Rattani; D. R. Kisku; C. J. Hwang; J. K. Sing
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Paper Abstract

This paper presents a palmprint based verification system using SIFT features and Lagrangian network graph technique. We employ SIFT for feature extraction from palmprint images whereas the region of interest (ROI) which has been extracted from wide palm texture at the preprocessing stage, is considered for invariant points extraction. Finally, identity is established by finding permutation matrix for a pair of reference and probe palm graphs drawn on extracted SIFT features. Permutation matrix is used to minimize the distance between two graphs. The propsed system has been tested on CASIA and IITK palmprint databases and experimental results reveal the effectiveness and robustness of the system.

Paper Details

Date Published: 31 May 2011
PDF: 8 pages
Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630W (31 May 2011); doi: 10.1117/12.888844
Show Author Affiliations
P. Gupta, Indian Institute of Technology Kanpur (India)
A. Rattani, Univ. degli Studi di Cagliari (Italy)
D. R. Kisku, Asansol Engineering College (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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