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. Instead of applying predefined task scheduling scheme to allocate the computing resources, we introduce a new on-line competitive algorithm to guide the dynamic allocation of mobile agents with greater flexibility. The experimental results demonstrate the feasibility and the potential of the proposed method.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04 |
Pages | 223-229 |
Number of pages | 7 |
Publication status | Published - 1 Dec 2004 |
Event | Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04 - Las Vegas, NV, United States Duration: 21 Jun 2004 → 24 Jun 2004 |
Conference
Conference | Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST'04 |
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Country/Territory | United States |
City | Las Vegas, NV |
Period | 21/06/04 → 24/06/04 |
Keywords
- Biometrics computing
- Feature extraction and indexing
- Guided search
- Identity authentication and verification
- Mobile computing
ASJC Scopus subject areas
- General Engineering