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      • Department of Electrical and Electronics Engineering
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      Mel-cepstral feature extraction methods for image representation

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      Author
      Çakir, S.
      Çetin, A. Enis
      Date
      2010-15-09
      Source Title
      Optical Engineering
      Print ISSN
      0091-3286
      Publisher
      S P I E - International Society for Optical Engineering
      Volume
      49
      Issue
      9
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      An image feature extraction method based on the twodimensional (2-D) mel cepstrum is introduced. The concept of onedimensional mel cepstrum, which is widely used in speech recognition, is extended to 2-D in this article. The feature matrix resulting from the 2-D mel-cepstral analysis are applied to the support-vector-machine classifier with multi-class support to test the performance of the mel-cepstrum feature matrix. The AR, ORL, and Yale face databases are used in experimental studies, which indicate that recognition rates obtained by the 2-D mel-cepstrum method are superior to the recognition rates obtained using 2-D principal-component analysis and ordinary image-matrixbased face recognition. Experimental results show that 2-D mel-cepstral analysis can also be used in other image feature extraction problems. .
      Keywords
      2-D mel cepstrum
      Cepstral features
      Face recognition
      Image feature extraction
      Permalink
      http://hdl.handle.net/11693/22240
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/1.3488050
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      • Department of Electrical and Electronics Engineering 3636
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