Abstract
A Kohonen self-organizing neural network embedded with genetic algorithm for fingerprint recognition is proposed in this paper. The genetic algorithm is embedded to initiate the Kohonen classifers. By the proposed approach, the neural network learning performance and accuracy are greatly enhanced. In addition, the genetic algorithm can successfully avoid the neural network from being trapped in a local minimum. The proposed method was tested for the recognition of fingerprints. The results were promising to applications.
| Original language | English |
|---|---|
| Pages (from-to) | 9-16 |
| Number of pages | 8 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3285 |
| Publication status | Published - 01-12-2004 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)