Eye detection in facial images using Zernike moments with SVM
DC Field | Value | Language |
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dc.contributor.author | Kim, Hyoung-Joon | - |
dc.contributor.author | Kim, Whoi-Yul | - |
dc.date.accessioned | 2022-10-07T10:33:46Z | - |
dc.date.available | 2022-10-07T10:33:46Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2008-04 | - |
dc.identifier.issn | 1225-6463 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172089 | - |
dc.description.abstract | An eye defection method for facial images using Zernike moments with a support vector machine (SVM) is proposed Eye/non-eye patterns are represented in terms of the magnitude of Zernike moments and then classified by the SVM. Due to the rotation-invariant characteristics of the magnitude of Zernike moments, the method is robust against rotation, which is demonstrated using rotated images from the ORL database. Experiments with TV drama videos showed that the proposed method achieved a 94.6% detection rate, which is a higher performance level than that achievable by the method that uses gray values with an SVM. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.title | Eye detection in facial images using Zernike moments with SVM | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Whoi-Yul | - |
dc.identifier.doi | 10.4218/etrij.08.0207.0150 | - |
dc.identifier.scopusid | 2-s2.0-42149139371 | - |
dc.identifier.wosid | 000254935200018 | - |
dc.identifier.bibliographicCitation | ETRI JOURNAL, v.30, no.2, pp.335 - 337 | - |
dc.relation.isPartOf | ETRI JOURNAL | - |
dc.citation.title | ETRI JOURNAL | - |
dc.citation.volume | 30 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 335 | - |
dc.citation.endPage | 337 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001234978 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | FACE | - |
dc.subject.keywordAuthor | eye detection | - |
dc.subject.keywordAuthor | Zernike moments | - |
dc.subject.keywordAuthor | support vector machine (SVM) | - |
dc.identifier.url | https://onlinelibrary.wiley.com/doi/abs/10.4218/etrij.08.0207.0150 | - |
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