A Robust Digital Image Analyzing Methodology to Prevent Vehicle Theft based on Automatic Number Plate Recognition Principle

A sophisticated vehicle theft prevention system built on the foundation of the Automatic Number Plate Recognition (ANPR) principle. What sets this system apart is its incorporation of character recognition through the application of Genetic Algorithms, adding a layer of precision and reliability to the process. The primary objective of this system is to significantly bolster vehicle security by excelling at the task of accurately recognizing and validating license plate numbers.To achieve this, the system capitalizes on the ANPR technology, which allows it to capture and meticulously analyze license plate images. Once the images are acquired, the process of character recognition comes into play, and here's where the Genetic Algorithms come into their own. These algorithms are employed to decipher the characters present on the license plate, ensuring an impressive degree of accuracy in the identification process. It addresses the critical issue of vehicle security, and its emphasis on precision and reliability in license plate recognition sets it apart as a promising solution. Furthermore, it provides a glimpse of the system's edge detection capabilities, which play a pivotal role in identifying and highlighting the edges and boundaries of characters, obtained an accuracy of 96.14% performance rate and features on the license plate image, adding another layer of sophistication to the recognition process.