American Currency Recognition System using Image Processing
In all over world 200+ different currencies used in different countries. All currencies look totally different from each other from all over the world. The machine learning model for currency recognition it aims to recognize the visible as well as hidden marks from currency for efficient classification. The main aim of our system is to reduce the human work who need to recognize different currencies. With advancement and development of modern banking system, automatic methods for currency recognition and it become important in many applications such as vending machines. It is very difficult task to count different denomination notes in a bunch. Image processing technique is used for paper currency recognition and detection.
This project will work on American Currency Recognition using Image Processing, In this project user have to provide input image of USD Currency and first model will detect that particular currency and recognize it on output. project developed using python programming language and image processing is used.
Currency Recognition System using Image Processing
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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