Download Automatic License Number Plate Recognition Project Source Code
Automatic License Number Plate Detection and Recognition
This project aims to recognize license number plates, the project could be useful for security, monitoring, e-challan, etc. In order to detect license number plates, we will use OpenCV to identify number plates and python pytesseract to extract characters and digits from the number plates.
OpenCV is an open-source machine learning library and provides a common infrastructure for computer vision. Whereas Pytesseract is a Tesseract-OCR Engine to read image types and extract the information present in the image.
Deep learning is a branch of machine learning that uses several layers of nonlinear processing units for feature extraction and transformation. Each layer uses output from the previous layer as input.
Top Applications of Deep Learning:
- Computer Vision
- Self Driving Cars
- Fraud News Detection
- Visual Recognition
- Multimedia processing
- Natural Language Processing
- Fraud Detection & prevention
- Colourization of Black and White images
- Virtual Assistants
- Chatbots
- Healthcare
- Automatic Machine Translation
- Automatic Game Playing
- Image captions
Category: Deep Learning, Machine Learning, Computer Vision
Programming Language: Python
Tools & Libraries: OpenCV
IDE: Google Colab
Front End: NA
Back End: Python
Prerequisites: Python, Deep Learning, Machine Learning
Intended Audience: Education, Developers, Data Scientists, AI professionals
Proficiency: Beginner Level
Automatic License Number Plate Recognition Project Code Download