Abstract
In this paper, we address some issues pertaining to adaptive multimodal biometric authentication. These issues include new user registration, sensor decay and small sample data size. A recursive formulation is introduced to track changes due to new user registration and possible sensor decay. The small sample size problem is handled using a feature scaling-space learning technique. Empirical experiments are conducted to observe the effects.
Original language | English |
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Pages (from-to) | 617-628 |
Number of pages | 12 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 3338 |
DOIs | |
Publication status | Published - 2004 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)