SVM-based face verification with feature set of small size

Kyunghee Lee; Yongwha Chung; Hyeran Byun

doi:10.1049/el:20020591

SVM-based face verification with feature set of small size

Kyunghee Lee, Yongwha Chung, Hyeran Byun

College of Computing

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

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	https://doi.org/10.1049/el:20020591
Publication status	Published - 2002 Jul 18

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1049/el:20020591

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title = "SVM-based face verification with feature set of small size",

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.",

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year = "2002",

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AU - Lee, Kyunghee

AU - Chung, Yongwha

AU - Byun, Hyeran

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N2 - 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.

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JF - Electronics Letters

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SVM-based face verification with feature set of small size

Abstract

All Science Journal Classification (ASJC) codes

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