Fusion strategies in multimodal biometric verification
- 1 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The aim of this paper, regarding multimodal biometric verification, is twofold: on one hand, to compare experimentally a selection of them using as monomodal baseline systems as our template-based face, minutiae-based fingerprint and HMM-based on-line signature verification systems on the MCYT multimodal database. A new strategy is proposed and discussed in order to compute a multimodal combined score by means of support vector machine (SVM) classifiers.Keywords
This publication has 8 references indexed in Scilit:
- Information Fusion in BiometricsPublished by Springer Nature ,2001
- Multi-modal identity verification using expert fusionInformation Fusion, 2000
- Multi-modal identity verification using support vector machines (SVM)Published by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- On combining classifiersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- Integrating faces and fingerprints for personal identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- The DET curve in assessment of detection task performancePublished by International Speech Communication Association ,1997
- Person identification using multiple cuesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
- Methods of combining multiple classifiers and their applications to handwriting recognitionIEEE Transactions on Systems, Man, and Cybernetics, 1992