Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic person recognition by acoustic and geometric features
Machine Vision and Applications
Machine Learning
Integrating Faces and Fingerprints for Personal Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Identification Using Multiple Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Conciliation for Multi Modal Person Authentication Systems by Bayesian Statistics
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Information Fusion in Biometrics
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Journal of Cognitive Neuroscience
Fusion of face and speech data for person identity verification
IEEE Transactions on Neural Networks
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This paper describes the integration of face and fingerprint data to improve the performance of a person identity verification system. In the conetxt of multi-modal person authentication, a set of experts give their opinion as a scalar number, called score, about the identity of an individual. A fusion module receiving as input the scores has to take a binary decision: accept or reject the claimed identity. The performance of several fusion methods have been evaluated and compared on a multi-modal database, containing face and fingerprint modalities.