An Automated Vision System to detect the .png format Indian Banknote taken through Smart Phone Camera by applying Convolutional Neural network

An Automated Vision System to detect the .png format Indian Banknote taken through Smart Phone Camera by applying Convolutional Neural network

Registration ID: IJNRD_205991

Published ID: IJNRD2309373

DOI: Click Here to Get

BUDDAVARAPU SATYAPRASAD

Sensor based Machines, Banknote Detection, Smart phone, Camera, Machine Learning, Deep Learning, CNN

Automatic Recognition of Indian banknote recognition which is an important task for handling the usage of banknotes, the main research is to use different algorithms to get the accurate identification of banknotes. Though we have sensor based machines to detect the banknotes but the cost to build to machines is more and we may not get the perfect results to detect Indian banknote. These sensors capture the images through IR recognition in various wavelengths and apply image processing tools to identify the banknote. However, some people are doing fraud stating that there is loss in withdrawal money or deposited money in the banks. So, our main aim is to capture each and every banknote and detect it and count it when withdrawing or depositing banknotes. No sensor based machines are detecting the new banknotes which are the primary issue. Meanwhile, smart phones are trending nowadays and can be used for image capture. Analyzing these issues, we proposed a model to classify the different Indian banknotes based Deep Learning approach (CNN). Though, Machine Learning can extract the feature Indian banknotes but show less accuracy. In order to increase the accuracy with the help of Machine Learning and Deep Learning we classify the Indian banknotes.

Published Paper   E-Certificate

"An Automated Vision System to detect the .png format Indian Banknote taken through Smart Phone Camera by applying Convolutional Neural network", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 9, page no.d599-d607, September-2023, Available :https://ijnrd.org/papers/IJNRD2309373.pdf

Volume 8 Issue 9, September-2023

Pages : d599-d607

Paper Reg. ID: IJNRD_205991

Published Paper Id: IJNRD2309373

Downloads: 000121156

Research Area: Computer Science & Technology 

Country: HYDERABAD, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309373.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309373

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

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