Vehicle Plate Extraction and Recognition using Hopfield Neural Network and Comparison with DWT, Correlation and NN Algorithms

ABSTRACT Advances in the technology in all aspects of modern world leads to the development of new methods for information security and monitoring system. Surveillance system is used for security in various fields like home security, traffic monitoring and toll collection. Automation of various systems leads to better monitoring of the system. Traffic monitoring and security system uses vehicle number plate identification for their owners who disobey the traffic rules, stolen vehicles and speed monitoring. This paper presents a novel approach for one search technique to identify vehicle no plate using Hopfield neural network The NN system is trained using all the characters in different style and sizes so that the system is made independent of size, rotation and location. Hopfield Neural Network is based on image pixel pattern. The proposed algorithm is compared with correlation based methodology and artificial neural network.