On the Error-Reject Trade-Off in Biometric Verification Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Individuality of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Analysis of Minutiae Matching Strength
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
FVC2002: Second Fingerprint Verification Competition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
IEEE Transactions on Pattern Analysis and Machine Intelligence
Communications of the ACM - Multimodal interfaces that flex, adapt, and persist
Enhancing security and privacy in biometrics-based authentication systems
IBM Systems Journal - End-to-end security
Biometric Systems: Technology, Design and Performance Evaluation
Biometric Systems: Technology, Design and Performance Evaluation
Handbook of Face Recognition
Multimedia content protection via biometrics-based encryption
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Fingerprint quality indices for predicting authentication performance
AVBPA'05 Proceedings of the 5th 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
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Bimodal biometric person identification system under perturbations
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
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Reliable person recognition is an integral component of identity management systems. Biometrics offers a natural and reliable solution to the problem of identity determination by recognizing individuals based on their physiological and/or behavioral characteristics that are inherent to the person. Although biometric systems have been successfully deployed in a number of civilian applications, current biometric systems are not perfect. In this paper, we describe the various obstacles that prevent biometric systems from achieving foolproof automatic person recognition. We also show that using multiple biometric modalities can alleviate some of the problems faced by unimodal biometric systems. Finally, we present the vulnerabilities of biometric systems and discuss solutions to protect biometric systems from some common attacks.