Abstract
A hand-geometry recognition system is presented. The development and evaluation of the system includes feature selection experiments using an existing publicly available hand database (50 users, 500 right hand images). The obtained results show that using a very small feature vector high recognition rates can be achieved. Additionally, various experimental findings related to feature selection are obtained. For example, we show that the least discriminative features are related to the palm geometry and thumb shape. A comparison between the proposed system and a reference one is finally given, showing the remarkable performance obtained in the present development when considering the best feature combination.
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Burgues, J., Fierrez, J., Ramos, D., Ortega-Garcia, J. (2009). Comparison of Distance-Based Features for Hand Geometry Authentication. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_42
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DOI: https://doi.org/10.1007/978-3-642-04391-8_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04390-1
Online ISBN: 978-3-642-04391-8
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