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

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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

BUDDAVARAPU SATYAPRASAD (September-2023). 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, 8(9), d599-d607. 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: 000122013

Research Area: Computer Science & Technology 

Author Type: Indian Author

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)

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