• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

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

      Thumbnail
      View / Download
      565.2 Kb
      Author
      Çakır, Serdar
      Çetin, A. Enis
      Date
      2010
      Source Title
      Computer and Information Sciences
      Publisher
      Springer, Dordrecht
      Volume
      62
      Pages
      271 - 276
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      133
      views
      111
      downloads
      Abstract
      An 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.
      Keywords
      Cepstrum
      Experimental studies
      Image feature extractions
      Image matrix
      Matrix approach
      Mellin transform
      Recognition rates
      Classifiers
      Face recognition
      Feature extraction
      Fourier transforms
      Information science
      Two dimensional
      Speech recognition
      Permalink
      http://hdl.handle.net/11693/28523
      Published Version (Please cite this version)
      https://doi.org/10.1007/978-90-481-9794-1_52
      https://doi.org/10.1007/978-90-481-9794-1
      Collections
      • Department of Electrical and Electronics Engineering 3524
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      Copyright © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy