원문정보
초록
영어
As the information age matures, biometric identification technology will be at the heart of computer interaction with humans and the biosphere in which they reside. Automated biometric systems for human identification measure a “signature” of the human body, compare the resulting characteristic to a database, and render an application dependent decision. These biometric systems for personal authentication and identification are based upon physiological or behavioral features which are typically distinctive, although time varying, such as fingerprints, hand geometry, face, voice, lip movement, gait, and iris patterns. Multi-biometric systems, which consolidate information from multiple biometric sources, are gaining popularity because they are able to overcome limitations such as non-universality, noisy sensor data, large intra-user variations and susceptibility to spoof attacks that are commonly encountered in uni-biometric systems. In this paper, it addresses the con-cept issues and the applications strategies of multi-biometric systems.
목차
1. Introduction
2. Biometrics Historical Background
3. Biometric Systems
3.1 Invasive Biometric Characteristics
3.2 Non-Invasive Biometric Characteristics
4. Comparison of Commonly Used Biometrics
5. Biometric Functionalities
6. Performance of Biometric Systems
7. Uni-modal Biometric Systems
8. Bi-Modal Biometric Systems
8.1 Databases and Protocols
8.2 Baseline System Description
9. Multi-biometric Systems
9.1 Fusion Levels
9.2 Fusion Scenarios
9.3 Score Normalisation Techniques [74]
9.4 Score Fusion Methods [74]
10. Score Level Fusion in Multi-biometric Systems
10. Applications Strategies of Biometric Systems
11. Conclusion
12. Further Directions
References