LBP-Ferns-Based Feature Extraction for Robust Facial Recognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, June-Young | - |
dc.contributor.author | Kim, Seung-Wook | - |
dc.contributor.author | Yoo, Cheol-Hwan | - |
dc.contributor.author | Park, Won-Jae | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.date.accessioned | 2021-09-03T18:01:28Z | - |
dc.date.available | 2021-09-03T18:01:28Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-11 | - |
dc.identifier.issn | 0098-3063 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/87126 | - |
dc.description.abstract | Most facial recognition (FR) systems first extract discriminative features from a facial image and then perform classification. This paper proposes a method aimed at representing human facial traits and a low-dimensional feature extraction method using orthogonal linear discriminant analysis (OLDA). The proposed feature relies on a local binary pattern to represent texture information and random ferns to build a structural model. By concatenating its feature vectors, the proposed method achieves a high-dimensional descriptor of the input facial image. In general, the feature dimension is highly related to its discriminative ability. However, higher dimensionality is more complex to compute. Thus, dimensionality reduction is essential for practical FR applications. OLDA is employed to reduce the dimension of the extracted features and improve discriminative performance. With a representative FR database, the proposed method demonstrates a higher recognition rate and low computational complexity compared to existing FR methods. In addition, with a facial image database with disguises, the proposed algorithm demonstrates outstanding performance(1). | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | EMBEDDED FACE RECOGNITION | - |
dc.subject | SYSTEM | - |
dc.subject | PATTERNS | - |
dc.title | LBP-Ferns-Based Feature Extraction for Robust Facial Recognition | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Sung-Jea | - |
dc.identifier.scopusid | 2-s2.0-85011968150 | - |
dc.identifier.wosid | 000396396500015 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.62, no.4, pp.446 - 453 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.title | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.volume | 62 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 446 | - |
dc.citation.endPage | 453 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | EMBEDDED FACE RECOGNITION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | PATTERNS | - |
dc.subject.keywordAuthor | Facial recognition | - |
dc.subject.keywordAuthor | feature extraction | - |
dc.subject.keywordAuthor | local binary patterns | - |
dc.subject.keywordAuthor | random-ferns | - |
dc.subject.keywordAuthor | orthogonal linear discriminant analysis | - |
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