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arXiv · 2204.03935

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

Marcos Faundez-Zanuy
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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 algo-rithm 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 identifi-cation and verification applications using the same classifier.

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Marcos Faundez-Zanuy. 2022-04-08. Study of a committee of neural networks for biometric hand-geometry recognition. https://doi.org/10.1007/11494669_145

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