Car License Plate Recognition Project using Python
Automatic Vehicle License Number Plate Recognition System :-
1. Prediction of ANPR can utilize by basic technique for image processing.
2. Advanced ANPR system use dedicated object detectors like YOLO, Faster R-CNN, HOG + Linear SVM, SSD to localize number plates in image.
3. ANPR software uses Long Short Term Memory Networks (LSTM) and Recurrent Neural Networks (RNN) in order to better OCRing of text from number plates. Project Functionality:-
- 1. Dataset is download from Kaggle and place in project folder.
- 2. Model is developed from large dataset of images and videos and label dataset.
- 3. User have to gave input image or video to model and first model will detect Number Plate and then recognize text or number from license plate and complete image stored in separate folder.
Automatic Vehicle Number Plate Detection and Recognition
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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