Abstract
This paper presents a new approach to efficient and effective personal identification for the security of network access by combining techniques in biometrics and mobile computing. To overcome the limitations of the existing password-based authentication services on the Internet, we propose a dynamic feature selection scheme to extract multiple personal features and integrate them in a hierarchical structure for fast and reliable identity authentication. To increase the speed and flexibility of the process, we use mobile agents as a navigational tool for parallel implementation in a distributed environment, which includes hierarchical biometric feature extraction, multiple feature integration, dynamic biometric data indexing and guided search.
Original language | English |
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Pages (from-to) | 226-235 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science |
Volume | 3687 |
Issue number | PART II |
Publication status | Published - 4 Nov 2005 |
Event | Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom Duration: 22 Aug 2005 → 25 Aug 2005 |
Keywords
- Biometrics computing
- Feature extraction and indexing
- Guided search
- Identity authentication and verification
- Mobile computing
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science