On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Identification Using Multiple Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
A Comparative Study of Zernike Moments
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
AIPR '05 Proceedings of the 34th Applied Imagery and Pattern Recognition Workshop
Handbook of Multibiometrics (International Series on Biometrics)
Handbook of Multibiometrics (International Series on Biometrics)
Likelihood Ratio-Based Biometric Score Fusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining face and iris biometrics for identity verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A principled approach to score level fusion in multimodal biometric systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Multimodal decision-level fusion for person authentication
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fusion of face and speech data for person identity verification
IEEE Transactions on Neural Networks
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The aim of this paper is to exploit the best possible combinations of hand geometry, palmprint and offline signatures for multimodal biometric systems by integrating the information at score level fusion. Initially, Zernike moments are extracted for each biometric trait of a person and study the identification accuracy. Subsequently, the effect of identification accuracy using score level fusion of multiple traits of a person is studied. Experiments are conducted on GPDS hand geometry database, PolyU two dimensional palmprint database and UOM offline signature database to assess the actual advantage of the fusion of multiple biometric traits performed at score level fusion, in comparison to the unimodal biometric system. The proposed methodology has shown promising results.