Paper Title

Proposed Currency Detection System using Machine Learning Approaches

Article Identifiers

Registration ID: IJNRD_217371

Published ID: IJNRD2404154

DOI: Click Here to Get

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.

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 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

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

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area