Image feature extraction using 2D mel-cepstrum

buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage677en_US
dc.citation.spage674en_US
dc.contributor.authorÇakır, Serdaren_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialIstanbul, Turkeyen_US
dc.date.accessioned2016-02-08T12:22:35Z
dc.date.available2016-02-08T12:22:35Z
dc.date.issued2010en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 23-26 Aug. 2010en_US
dc.description.abstractIn this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For each of these feature extraction methods, recognition rates are obtained in the AR face database, ORL database and Yale database. Experimental results indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA approach and raw image matrices. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems. © 2010 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:22:35Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010en
dc.identifier.doi10.1109/ICPR.2010.170en_US
dc.identifier.issn1051-4651
dc.identifier.urihttp://hdl.handle.net/11693/28511
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICPR.20http://dx.doi.org/10.170en_US
dc.source.title2010 20th International Conference on Pattern Recognitionen_US
dc.subjectCepstral analysisen_US
dc.subjectCepstrumen_US
dc.subjectCepstrum methoden_US
dc.subjectFace databaseen_US
dc.subjectFace recognition systemsen_US
dc.subjectFeature extraction methodsen_US
dc.subjectFourieren_US
dc.subjectImage feature extractionsen_US
dc.subjectMatrix approachen_US
dc.subjectOriginal imagesen_US
dc.subjectORL databaseen_US
dc.subjectRaw imagesen_US
dc.subjectRecognition ratesen_US
dc.subjectYale databaseen_US
dc.subjectDatabase systemsen_US
dc.subjectFace recognitionen_US
dc.subjectFeature extractionen_US
dc.titleImage feature extraction using 2D mel-cepstrumen_US
dc.typeConference Paperen_US

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