Two-dimensional Mellin and mel-cepstrum for image feature extraction

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage276en_US
dc.citation.spage271en_US
dc.citation.volumeNumber62en_US
dc.contributor.authorÇakır, Serdaren_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2016-02-08T12:22:54Z
dc.date.available2016-02-08T12:22:54Z
dc.date.issued2010en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionConference name: Proceedings of the 25th International Symposium on Computer and Information Sciencesen_US
dc.description.abstractAn image feature extraction method based on two-dimensional (2D)Mellin cepstrum is introduced. The concept of one-dimensional (1D) melcepstrum which is widely used in speech recognition is extended to two-dimensions both using the ordinary 2D Fourier Transform and the Mellin transform in this article. The resultant feature matrices are applied to two different classifiers (Common Matrix Approach and Support Vector Machine) to test the performance of the melcepstrum and Mellincepstrum based features. Experimental studies indicate that recognition rates obtained by the 2D melcepstrum based method are superior to the recognition rates obtained using 2D PCA and ordinary image matrix based face recognition in both classifiers. © 2011 Springer Science+Business Media B.V.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:22:54Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010en
dc.identifier.doi10.1007/978-90-481-9794-1_52en_US
dc.identifier.doi10.1007/978-90-481-9794-1en_US
dc.identifier.urihttp://hdl.handle.net/11693/28523
dc.language.isoEnglishen_US
dc.publisherSpringer, Dordrechten_US
dc.relation.isversionofhttps://doi.org/10.1007/978-90-481-9794-1_52en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-90-481-9794-1en_US
dc.source.titleComputer and Information Sciencesen_US
dc.subjectCepstrumen_US
dc.subjectExperimental studiesen_US
dc.subjectImage feature extractionsen_US
dc.subjectImage matrixen_US
dc.subjectMatrix approachen_US
dc.subjectMellin transformen_US
dc.subjectRecognition ratesen_US
dc.subjectClassifiersen_US
dc.subjectFace recognitionen_US
dc.subjectFeature extractionen_US
dc.subjectFourier transformsen_US
dc.subjectInformation scienceen_US
dc.subjectTwo dimensionalen_US
dc.subjectSpeech recognitionen_US
dc.titleTwo-dimensional Mellin and mel-cepstrum for image feature extractionen_US
dc.typeConference Paperen_US

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