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2013 (Vol. 6, Issue: 16)
Article Information:

Recognition System for Pakistani Paper Currency

Ahmed Ali and Mirfa Manzoor
Corresponding Author:  Ahmed Ali 

Key words:  Feature extraction, Pakistan currency, recognition system, , , ,
Vol. 6 , (16): 3078-3085
Submitted Accepted Published
January 29, 2013 March 08, 2013 September 10, 2013
Abstract:

The main purpose of this study is to propose a method that could recognize the Pakistani paper currency note. There are many real-life applications which heavily use many techniques based on Pattern Recognition such as voice recognition, character recognition, handwriting recognition and face recognition. Paper currency recognition is a new application of pattern recognition. This application uses the computing power in differentiating between different kinds of currencies with their suitable class. Selection of proper feature enhanced the performance of the overall system. We are aiming to develop an intelligent system for Pakistani paper currency that could recognize the currency note accurately. In this study, we have taken samples domain of five different Pakistani paper currency notes (Rs. 10, 20, 50, 100, 1000). We scanned total 100 currency notes, 20 from each sample of selected domain for feature extraction of these images using a software. The images will be matched with the features stored in MAT file and if the features of test images will be matched with that file, the software will return the class of that currency note. Experimental results are presented which show that this scheme can recognize currently available 8 notes of Pakistanís Currency (Rs. 10, 20, 50, 100, 500, 1000 etc.) successfully with an average accuracy of 98.57%.
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  Cite this Reference:
Ahmed Ali and Mirfa Manzoor , 2013. Recognition System for Pakistani Paper Currency.  Research Journal of Applied Sciences, Engineering and Technology, 6(16): 3078-3085.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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