IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2000: Fingerprint Verification Competition
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
Evidence on Skill Differences of Women and Men Concerning Face Recognition
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Multimodal Biometric Authentication Using Quality Signals in Mobile Communications
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A comparative evaluation of fusion strategies for multimodal biometric verification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Fusion of face and speech data for person identity verification
IEEE Transactions on Neural Networks
Cognitive security for personal devices
Proceedings of the 1st ACM workshop on Workshop on AISec
Implicit authentication for mobile devices
HotSec'09 Proceedings of the 4th USENIX conference on Hot topics in security
Implicit authentication through learning user behavior
ISC'10 Proceedings of the 13th international conference on Information security
Touch me once and i know it's you!: implicit authentication based on touch screen patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Humans are excellent experts in person recognition and yet they do not perform excessively well in recognizing others only based on one modality such as single facial image. Experimental evidence of this fact is reported concluding that even human authentication relies on multimodal signal analysis. The elements of automatic multimodal authentication along with system models are then presented. These include the machine experts as well as machine supervisors. In particular, fingerprint and speech based systems will serve as illustration. A signal adaptive supervisor based on the input biometric signal quality is evaluated. Experimental results on data collected from a mobile telephone prototype application are reported demonstrating the benefits of the reported scheme.