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A Novel Paper Currency Recognition using Fourier Mellin Transform, Hidden Markov Model and Support Vector Machine

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 61 - Number 7
Year of Publication: 2013
Abbas Yaseri
Seyed Mahmoud Anisheh

Abbas Yaseri and Seyed Mahmoud Anisheh. Article: A Novel Paper Currency Recognition using Fourier Mellin Transform, Hidden Markov Model and Support Vector Machine. International Journal of Computer Applications 61(7):17-22, January 2013. Full text available. BibTeX

	author = {Abbas Yaseri and Seyed Mahmoud Anisheh},
	title = {Article: A Novel Paper Currency Recognition using Fourier Mellin Transform, Hidden Markov Model and Support Vector Machine},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {61},
	number = {7},
	pages = {17-22},
	month = {January},
	note = {Full text available}


A paper currency recognition system has a wide range of applications such as self receiver machines for automated teller machines and automatic good-selling machines. In this paper a new paper currency recognition system based on Fourier-Mellin transform, Markovian characteristics and Support Vector Machine (SVM) is presented. In the first, a pre-processing algorithm by Fourier-Mellin transform is performed. The key feature of Fourier-Mellin transform is that it is invariant in rotation, translation and scale of the input image. Then, obtained image is segmented and markovian characteristics of each segment have been utilized to construct a feature vectors. These vectors are then fed into SVM classifier for paper currency recognition. In order to evaluate the effectiveness of the system several experiments are carried out. Experimental result indicates that the proposed method achieved high accuracy rate in paper currency recognition.


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