A Real-Time Implementation of License Plate Recognition (LPR) System

Table of Contents

• Chapter 1 : Organization of Thesis
• Chapter 2: Introduction to the System
• Chapter 3: Analysis and Processing Tools
• Chapter 4: Problem Definition and Proposed Solution
• Chapter 5: Implementation of Tools for Simulation and Testing

Objectives and Key Themes

This thesis focuses on developing a real-time License Plate Recognition (LPR) system for practical applications like parking area or border crossing security. The system aims to detect and recognize license plates from cars in real-time, enabling efficient vehicle monitoring and control.

• Real-time license plate recognition
• Vehicle monitoring and security applications
• Image processing and analysis techniques
• Algorithm design for license plate extraction and character recognition
• System implementation and performance evaluation

Chapter Summaries

• Chapter 1 provides a brief overview of existing literature and previous work in the field of license plate recognition systems.
• Chapter 2 introduces the LPR system, its applications, working principles, and the proposed system's structure.
• Chapter 3 delves into the detailed description of analysis and processing tools available in the Vision Assistant 7.1 application software, which forms the basis of this thesis.
• Chapter 4 defines the problem statement and outlines the proposed solution for real-time license plate recognition.
• Chapter 5 discusses the implementation of various tools from the application software for simulation and testing purposes, demonstrating the system's effectiveness.

Keywords

License Plate Recognition (LPR), Intelligent Transport System, Image Processing, Character Recognition, Vision Assistant, LabVIEW, Real-Time, Security, Vehicle Monitoring, Parking Area, Border Crossing, Algorithm Design, System Implementation, Performance Evaluation.