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

Date
2010
Advisor
Instructor
Source Title
Computer and Information Sciences
Print ISSN
Electronic ISSN
Publisher
Springer, Dordrecht
Volume
62
Issue
Pages
271 - 276
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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.

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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
Citation