Study of a committee of neural networks for biometric hand-geometry recognition

Authors:
Marcos Faundez-Zanuy
Affiliations:
Escola Universitária Politécnica de Mataró, Universitat Politécnica de Catalunya, Barcelona, Spain
Venue:
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Year:
2005

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Biometric identification by means of hand geometry and a neural net classifier

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

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Abstract

This Paper studies different committees of neural networks for biometric pattern recognition. We use the neural nets as classifiers for identification and verification purposes. We show that a committee of nets can improve the recognition rates when compared with a multi-start initialization algorithm that just picks up the neural net which offers the best performance. On the other hand, we found that there is no strong correlation between identification and verification applications using the same classifier.