Palmprint verification using Lagrangian decomposition and invariant interest points

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

doi:10.1117/12.888844

31 May 2011 Palmprint verification using Lagrangian decomposition and invariant interest points

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

Proceedings Volume 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011; 80630W (2011) https://doi.org/10.1117/12.888844
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

P. Gupta, A. Rattani, D. R. Kisku, C. J. Hwang, and J. K. Sing "Palmprint verification using Lagrangian decomposition and invariant interest points", Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630W (31 May 2011); https://doi.org/10.1117/12.888844

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KEYWORDS

Databases

Feature extraction

Distance measurement

Matrices

Image enhancement

Computing systems

Biometrics

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