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Proceedings Paper

Support vector machine for hand geometry-based identity verification system
Author(s): Łukasz Stasiak
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Paper Abstract

A new approach to classifying the hand geometry features for personal verification is presented. This paper attempts to improve the performance of hand geometry-based systems by applying the Support Vector Machine (SVM) to the template classification task. We also compare the SVM-based approach to vector distance-based and neural network-based approaches as well as to other systems described in the literature and to the popular commercial systems. The testing results show that our system is competitive to the other known solutions.

Paper Details

Date Published: 12 October 2006
PDF: 12 pages
Proc. SPIE 6347, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006, 634725 (12 October 2006); doi: 10.1117/12.714599
Show Author Affiliations
Łukasz Stasiak, Warsaw Univ. of Technology (Poland)
Research and Academic Computer Nework, NASK (Poland)


Published in SPIE Proceedings Vol. 6347:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2006
Ryszard S. Romaniuk, Editor(s)

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