Proposed Currency Detection System using Machine Learning Approaches

Registration ID: IJNRD_217371

Published ID: IJNRD2404154

DOI: Click Here to Get

Deveshwar Singh Wazir , Er. Anshu Sharma

Paper currency, denomination detection, image processing, feature extraction , pattern matching, testing data, training data, webcam, video stream, photo, voice output.

This This system aims to develop a system for detecting paper currency and providing an audio output indicating the denomination of the detected note. The system utilizes input images, such as webcam streams, phone video streams, or photos as Testing data, extracting relevant features from these images, then matches them against a set of training data. Upon finding a match, the system determines the denomination of the input image's note and generates a speech output conveying the result. The proposed solution combines Image processing techniques, feature extraction, and pattern matching algorithms to accomplish the currency detection task. The system's ability to accurately identify and classify paper currency will provide users with a convenient and accessible method for determining the denomination of various notes.

Published Paper   E-Certificate

Deveshwar Singh Wazir & Er. Anshu Sharma (April-2024). Proposed Currency Detection System using Machine Learning Approaches. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), b421-b424. https://ijnrd.org/papers/IJNRD2404154.pdf

Volume 9 Issue 4, April-2024

Pages : b421-b424

Paper Reg. ID: IJNRD_217371

Published Paper Id: IJNRD2404154

Downloads: 000121985

Research Area: Computer Engineering 

Country: Jammu, JAMMU AND KASHMIR, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404154.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404154

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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