Localization of License Plate Number and Character Recognition based on Embedded System

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Abstract: </B>

This project presents the license plate localization and recognition using embedded platform like FPGA.� An Automatic Number Plate Recognition (ANPR) system has the function of tracking, identifying and monitoring moving vehicles. These systems are applicable for a vast number of applications such as automatic congestion charge systems, access control, tracing of stolen cars, or identification of dangerous drivers. The Number plate localization is a very important step in an Automatic Number Plate Recognition (ANPR) system. Previously the algorithms used for localization of license plate number and character recognition have low detection rate and requires more time. The objective is to use the system that requires algorithm having high detection rate and requires less time. This system is implemented and tested using the FPGA (cyclone II DE2) board. The localization is done using morphological operations. The edge detection is done by using Sobel operator. The recognition is done by using genetic algorithm. This system is implemented using MATLAB R2013b and Quartus II software�s.

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Keywords: </B>�

ANPR, FPGA, genetic algorithm, morphological operation, segmentation, etc

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