Paper Title
Proposed Currency Detection System using Machine Learning Approaches
Article Identifiers
Authors
Deveshwar Singh Wazir , Er. Anshu Sharma
Keywords
Paper currency, denomination detection, image processing, feature extraction , pattern matching, testing data, training data, webcam, video stream, photo, voice output.
Abstract
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.
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How To Cite
"Proposed Currency Detection System using Machine Learning Approaches", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b421-b424, April-2024, Available :https://ijnrd.org/papers/IJNRD2404154.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : b421-b424
Other Publication Details
Paper Reg. ID: IJNRD_217371
Published Paper Id: IJNRD2404154
Downloads: 000121201
Research Area: Computer EngineeringÂ
Country: Jammu, JAMMU AND KASHMIR, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404154.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404154
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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