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Low resolution face recognition based on support vector data description

Authors
Lee, Sang-WoongPark, JooyoungLee, Seong-Whan
Issue Date
9월-2006
Publisher
ELSEVIER SCI LTD
Keywords
support vector data description (SVDD); face recognition; low resolution; image enhancement
Citation
PATTERN RECOGNITION, v.39, no.9, pp.1809 - 1812
Indexed
SCIE
SCOPUS
Journal Title
PATTERN RECOGNITION
Volume
39
Number
9
Start Page
1809
End Page
1812
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/124289
DOI
10.1016/j.patcog.2006.04.033
ISSN
0031-3203
Abstract
In the face recognition process, it is important to deal with a facial image of low-resolution. For low-resolution face recognition. we propose a new method of extending the SVDD, which is one of the most well-known support vector learning methods for the one-class problem. The proposed method can recognize a person even with a low-resolution image. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
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