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dc.contributor.author Lee, Sang-Heon -
dc.contributor.author Sohn, Myoung-Kyu -
dc.contributor.author Kim, Byungmin -
dc.contributor.author Lee, Jangwoo -
dc.contributor.author Park, Chiho -
dc.contributor.author Won, Chul-Ho -
dc.date.available 2017-07-11T08:10:19Z -
dc.date.created 2017-06-25 -
dc.date.issued 2011 -
dc.identifier.isbn 9781880843833 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3932 -
dc.description.abstract In this paper, a face detection method using a new feature, edge histogram feature, with a support vector machine (SVM) in the near-infrared (NIR) images is proposed. The edge histogram feature is extracted using 16-directional edge intensity and a histogram. Compared to the previous method using local binary pattern (LBP) feature, the proposed method using edge histogram feature has better performance in both smaller feature size and lower equal error rate (EER) for face detection experiments in NIR databases. -
dc.publisher Institute of Singapore Chartered Accountants -
dc.relation.ispartof Proceedings of the ISCA 24th International Conference on Computer Applications in Industry and Engineering, CAINE 2011 -
dc.title Improved face detection method using edge histogram feature in the infrared images -
dc.type Conference Paper -
dc.identifier.scopusid 2-s2.0-84871971153 -
dc.identifier.bibliographicCitation 24th International Conference on Computer Applications in Industry and Engineering, CAINE 2011, pp.248 - 250 -
dc.citation.conferenceDate 2011-11-16 -
dc.citation.conferencePlace SI -
dc.citation.conferencePlace Honolulu, HI -
dc.citation.endPage 250 -
dc.citation.startPage 248 -
dc.citation.title 24th International Conference on Computer Applications in Industry and Engineering, CAINE 2011 -
dc.type.docType Conference Paper -
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Appears in Collections:
Division of Automotive Technology 2. Conference Papers
Division of Electronics & Information System 2. Conference Papers

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