Paper Currency Identification using Image Processing and Radial Basis Function (Rbf)
Prakhar Chaturvedi1, Harshdeep Kalra2, Ritu Raj Madhup3
1Prakhar Chaturvedi, Department of C.S.E, SRM Institute of Science and Technology, Kattankulathur, (Tamil Nadu), India.
2Harshdeep Kalra, Department of C.S.E, SRM Institute of Science and Technology, Kattankulathur, (Tamil Nadu), India.
3Ritu Raj Madhup, Department of C.S.E, SRM Institute of Science and Technology, Kattankulathur, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1490-1494 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2661037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: “Currency”, generally an accepted form of money, which is officially issued by the government and is circulated by the central bank of every country. It forms the basis for trade within or outside the country. Due to the presence of several countries in this world, there is a vast heterogeneity in currency. Various patterns, colors and images are integrated on paper currency by each country to retain the individuality and legality of their paper currencies. This results in difficulty for people in foreign exchange to recognize currencies from different countries. The aim is to help people solve this problem to remember every feature of the respective currencies.
Keywords: Image processing, pattern recognition, Digital imaging, Radial Basis Function, Feature Extraction, Content-based image retrieval.
Scope of the Article: Image analysis and Processing