SVM-based face verification with feature set of small size

Kyunghee Lee, Yongwha Chung, Hyeran Byun

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


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 languageEnglish
Pages (from-to)787-789
Number of pages3
JournalElectronics Letters
Issue number15
Publication statusPublished - 2002 Jul 18

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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