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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | An Automated Vision System to detect the .png format Indian Banknote taken through Smart Phone Camera by applying Convolutional Neural network |
| Authors Name: | BUDDAVARAPU SATYAPRASAD |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_205991
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| Published Paper Id: | IJNRD2309373 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Sensor based Machines, Banknote Detection, Smart phone, Camera, Machine Learning, Deep Learning, CNN |
| Cite Article: | "An Automated Vision System to detect the .png format Indian Banknote taken through Smart Phone Camera by applying Convolutional Neural network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.d599-d607, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309373.pdf |
| Downloads: | 000118753 |
| 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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Published Paper ID:IJNRD2309373 Registration ID: 205991 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: d599-d607 Country: HYDERABAD, Telangana, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309373 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309373 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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