Thabetahmed/Algerian-License-Plate-Recognition-System

# Algerian License Plate Recognition System A comprehensive end-to-end solution for detecting and recognizing Algerian license plates using YOLO object detection and EasyOCR optical character recognition. ## Table of Contents - Overview - Data Collection Strategy - Methodology - Project Structure - Installation - Usage - Results - Technical Details - Performance Analysis - Future Improvements - Contributing ## Overview This project implements a robust license plate recognition system specifically designed for Algerian license plates. The system addresses the unique challenges of number extraction from license plate images and provides accurate numerical sequence detection for various applications including traffic monitoring, parking management, and security systems. The project follows a two-stage approach: first detecting license plates in images using YOLO, then extracting numerical information using OCR technology optimized for the specific characteristics of Algerian license plates. ## Data Collection Strategy ### Primary Dataset: Algerian License Plates The foundation of this project relies on high-quality Algerian license plate images sourced from Kaggle: **Dataset:** Algerian High Quality Small License Plate Dataset **Characteristics:** - Contains authentic Algerian license plate images - High-resolution images suitable for OCR processing - Unlabeled dataset requiring additional processing for training **Challenge:** The primary dataset lacks bounding box annotations necessary for YOLO training, necessitating the use of transfer learning techniques. ### Training Dataset: Transfer Learning Source To overcome the labeling challenge, we employed transfer learning using a pre-labeled international dataset: **Dataset:** Car Number Plate Dataset (YOLO Format) **Benefits:** - Pre-annotated with YOLO format bounding boxes - Diverse license plate styles for robust feature learning - Enables effective transfer learning to Algerian plates **Transfer Le …