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An Integrated Approach of Image Deblurring and 3D HSV for Indian Banknote Identification


Snehlat Sahu , RCET Bhilai; Toran Verma, RCET Bhilai


HSV, Non-blind convolution


Currency has immense significance in routine life; because of this the currency recognition is a enormous area of attention for researchers. Automatic substantiation of banknote is flattering a gradually more urgent problem because of new and improved uses of counterfeits. The necessities for an automatic banknote identification system have offered many researchers to design robust and reliable techniques. In this paper we have designed a system which will single out the fake banknote from genuine banknote. Image processing is used to develop the proposed system. Any image identification encompass of some phases which are Image preprocessing, feature extraction and classification. In this paper we have represented a currency recognition system for Indian currency using 3D histogram (HSV) based feature extraction and non-blind convolution based deblurring for input currency image.

Other Details

Paper ID: IJSRDV4I41038
Published in: Volume : 4, Issue : 4
Publication Date: 01/07/2016
Page(s): 1242-1245

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