Abstract
An efficient algorithm for face verification is presented, which uses support vector machines with the feature set extracted by genetic algorithms (GA). By using the GA in selecting the discriminating feature set, we obtain a high recognition rate even with a small amount of memory.
| Original language | English |
|---|---|
| Pages (from-to) | 787-789 |
| Number of pages | 3 |
| Journal | Electronics Letters |
| Volume | 38 |
| Issue number | 15 |
| DOIs | |
| Publication status | Published - 2002 Jul 18 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
Lee, K., Chung, Y., & Byun, H. (2002). SVM-based face verification with feature set of small size. Electronics Letters, 38(15), 787-789. https://doi.org/10.1049/el:20020591