Two-dimensional Mellin and mel-cepstrum for image feature extraction
Author
Çakır, Serdar
Çetin, A. Enis
Date
2010Source Title
Computer and Information Sciences
Publisher
Springer, Dordrecht
Volume
62
Pages
271 - 276
Language
English
Type
Conference PaperItem Usage Stats
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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
CepstrumExperimental 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/11693/28523Published Version (Please cite this version)
https://doi.org/10.1007/978-90-481-9794-1_52https://doi.org/10.1007/978-90-481-9794-1