Mel-and Mellin-cepstral feature extraction algorithms for face recognition

Simple item page
buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1534en_US
dc.citation.issueNumber9en_US
dc.citation.spage1526en_US
dc.citation.volumeNumber54en_US
dc.contributor.authorCakir, S.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2016-02-08T09:51:09Z
dc.date.available2016-02-08T09:51:09Z
dc.date.issued2011-01-17en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this article, an image feature extraction method based on two-dimensional (2D) Mellin cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum that is widely used in speech recognition is extended to two-dimensions using both the ordinary 2D Fourier transform and the Mellin transform. The resultant feature matrices are applied to two different classifiers such as common matrix approach and support vector machine to test the performance of the mel-cepstrum- and Mellin-cepstrum-based features. The AR face image database, ORL database, Yale database and FRGC database are used in experimental studies, which indicate that recognition rates obtained by the 2D mel-cepstrum-based method are superior to that obtained using 2D principal component analysis, 2D Fourier-Mellin transform and ordinary image matrix-based face recognition in both classifiers. Experimental results indicate that 2D cepstral analysis can also be used in other image feature extraction problems. © The Author 2010. Published by Oxford University Press on behalf of The British Computer Society.en_US
dc.identifier.doi10.1093/comjnl/bxq100en_US
dc.identifier.issn0010-4620
dc.identifier.urihttp://hdl.handle.net/11693/21788
dc.language.isoEnglishen_US
dc.publisherOxford University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/comjnl/bxq100en_US
dc.source.titleComputer Journalen_US
dc.subject2D mel-cepstrumen_US
dc.subject2d Mellin-cepstrumen_US
dc.subjectCepstral featuresen_US
dc.subjectFace recognitionen_US
dc.subjectFeature extractionen_US
dc.subjectMellin transformen_US
dc.titleMel-and Mellin-cepstral feature extraction algorithms for face recognitionen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Mel- and Mellin-cepstral feature extraction algorithms for face recognition.pdf
Size:
457.11 KB
Format:
Adobe Portable Document Format
Description:
Full Printable Version
Download

Collections

Department of Electrical and Electronics Engineering