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.
This work is supported by European Commission Seventh Framework Program with EU Grant: 244088(FIRESENSE)
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Toreyin, B.U., Cetin, A.E.: Shadow detection using 2D cepstrum. Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIII 7338 (2009) 733809
Lee, J.K., Kabrisky, M., Oxley, M.E., Rogers, S.K., Ruck, D.W.: The complex cepstrum applied to two-dimensional images. Pattern Recogn. 26 (1993) 1579–1592
Gueham, M., Bouridane, A., Crookes, D., Nibouche, O.: Automatic recognition of shoeprints using fourier-mellin transform. In: Adapt. Hardw. and Sys., 2008. AHS ’08. NASA/ESA Conf. (2008) 487 –491
Gulmezoglu, M., Dzhafarov, V., Barkana, A.: The common vector approach and its relation to principal component analysis. IEEE T Speech Audi. P. 9 (2001) 655–662
Turhal, U.C., Gulmezoglu, M.B., Barkana, A.: Face recognition using common matrix approach. In: European Signal Processing Conference. (2005)
Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. (2001)
Martinez, A., Benavente, R.: The AR face database. CVC Tech. Report # 24 (1998)
Samaria, F.S., Harter, A.C.: Parameterisation of a stochastic model for human (2002) 138–142
.Yale:YaleFaceDatabase. http://cvc.yale.edu/projects/yalefaces/yalefaces.html face identification. In: App. Comput. Vision, 1994., Proc. Second IEEE Workshop. (1997)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Çakir, S., Çetİn, A.E. (2011). Two-Dimensional Mellin and Mel-Cepstrum for Image Feature Extraction. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_52
Download citation
DOI: https://doi.org/10.1007/978-90-481-9794-1_52
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9793-4
Online ISBN: 978-90-481-9794-1
eBook Packages: EngineeringEngineering (R0)