Combination of hyperbolic functions for multimodal biometrics data fusion

In this paper, we treat the problem of combining fingerprint and speech biometric decisions as a classifier fusion problem. By exploiting the specialist capabilities of each classifier, a combined classifier may yield results which would not be possible in a single classifier. The feedforward neural...

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Veröffentlicht in:	IEEE transactions on cybernetics 2004-04, Vol.34 (2), p.1196-1209
Hauptverfasser:	Toh, K.-A., Wei-Yun Yau
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Artificial Intelligence Bioinformatics Biometrics Biometry - methods Classification Classifiers Data fusion Decision Support Techniques Decisions Dermatoglyphics - classification Feedforward neural networks Fingerprint recognition Function approximation Fusion power generation Humans Hyperbolic functions Information Storage and Retrieval - methods Iterative algorithms Mathematical analysis Networks Neural networks Pattern classification Pattern Recognition, Automated Speech Speech - classification Speech Production Measurement - methods Studies Systems Integration
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