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Journal Article SVM-based Face Verification with Feature Set of Small Size
Cited 29 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Kyunghee Lee, Yongwha Chug, Hyeran Byun
Issue Date
2002-07
Citation
Electronics Letters, v.38, no.15, pp.787-789
ISSN
0013-5194
Publisher
IET
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/el:20020591
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.
KSP Keywords
Efficient algorithms, Feature set, Genetic Algorithm, Recognition rate, Support VectorMachine(SVM), face verification, small size