Paper Title
Indian Currency Detection Using Image Processing Technique
Article Identifiers
Registration ID: IJNRD_222275
Published ID: IJNRD2405677
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Keywords
ImageProcessing,Machine Learning,Convolutional Neural Networks (CNN),OpenCV,Currency Authentication,Data Set
Abstract
This initiative addresses the pressing challenge of counterfeit currency in India by employing state-of-the-art image processing and machine learning technologies, specifically Convolu-tional Neural Networks (CNN) and OpenCV. CNNs are exception-ally effective in recognizing detailed and delicate patterns on cur-rency notes, such as watermarks, security threads, and holograms, which are commonly replicated by counterfeiters. By deeply ana-lyzing image data, CNNs help differentiate authentic currency from forgeries with remarkable precision. OpenCV supports this by providing robust capabilities for real-time image processing, ensur-ing that the currency images prepared for CNN analysis are of the highest quality. This synergy between CNNs for deep learning-driven detection and OpenCV for image processing establishes a comprehensive system for verifying currency authenticity. This system not only enhances the detection rate of fake notes but also keeps pace with evolving counterfeiting methods, thus maintaining the reliability of financial transactions and boosting public confi-dence in the monetary system.
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How To Cite (APA)
R.Rajendra Ganesh, CH.Hasini, E.Vamshi, E.Neha Reddy, & Mrs.G.Sindhusha, R Jegadeesan (May-2024). Indian Currency Detection Using Image Processing Technique. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), g665-g669. https://ijnrd.org/papers/IJNRD2405677.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : g665-g669
Other Publication Details
Paper Reg. ID: IJNRD_222275
Published Paper Id: IJNRD2405677
Research Area: Engineering
Author Type: Indian Author
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405677.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405677
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