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Springer, Lecture Notes in Computer Science, p. 753-759, 2004

DOI: 10.1007/978-3-540-25948-0_102

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Hand Recognition Using Geometric Classifiers

Proceedings article published in 2004 by Yaroslav Bulatov, Sachin Jambawalikar ORCID, Piyush Kumar, Saurabh Sethia
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This paper is available in a repository.

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Abstract

We discuss the issues and challenges in the design of a hand outline based recognition system. Our system is easier to use, cheaper to build and more accurate than previous systems. Extensive tests on more than 700 images collected from 70 people are reported. Classification, verification and identification of the input images were done using two simple geometric classifiers. We describe a novel minimum enclosing ball classifier which performs well for hand recognition and could be of interest for other applications.