Abstract
In this paper, a new 1-parameter regularized discriminant analysis (IPRDA) algorithm is developed to deal with the small sample size (S3) problem. The main limitation in regularization is that the computational complexity of determining the optimal parameters is very high. In view of this limitation, we derive a single parameter (t) explicit expression formula for determining the 3 parameters. A simple and efficient method is proposed to determine the value of t. The proposed IPRLDA method for face recognition has been evaluated with two public available databases, namely ORL and FERET databases. The average recognition accuracy of 50 runs for ORL and FERET database are 96.65% and 94.00% respectively. Comparing with existing LDA-based methods in solving the S3 problem, the proposed 1PRLDA method gives the best performance.
Original language | English |
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Pages (from-to) | 320-329 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science |
Volume | 3338 |
DOIs | |
Publication status | Published - 2004 |
Scopus Subject Areas
- Theoretical Computer Science
- Computer Science(all)