Design and Implementation of a Vehicle License Plate Characters Recognition System based on FFBN Classifier

Abstract

In this paper, a coercive and dynamic Automatic Vehicle Number Plate Recognition (AVNPR) scheme is obtained, a throng supervision structure able to detect Indian license plates; it is a cardinal procedure in Intelligent Transportation Systems (ITS). The progression of detection and identification of License Plates in this proposed system is divided in four sections: Image Pre-processing, License Plate Localization, Character Segmentation and Character Recognition. A Feed Forward Back-propagation Neural network (FFBN) Classifier is engaged for this particular system for License Plate exposure and features mining of License Plate characters. The outcomes demonstrate that the proposed system can successfully distinguish and identify License Plates even in problematical surroundings. A superior entitlement of accurateness has been received for the implication of this method and it is confirmed to be 92.13% for the withdrawal of License Plate area and 90.55% identifications of License Plate characters with greater concert than conventional approaches. The planned structure has been put into practice in MATLAB.