LICENSE PLATE CHARACTER RECOGNITION USING BACK PROPAGATION ALGORITHM
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 5
Abstract
License Plate Recognition (LPR) technology is one of the most important parts in Intelligent Transport System (ITS), including License Plate Location, Characters Segmentation and Characters Recognition. The neural network pattern recognition is one of the important research areas in the field of pattern recognition recently. The non-linear and ability of self-study and self-organization make it have unique prevalence. The project chooses the recognition method based on Back Propagation (BP) neural network, and character recognition. In this consultancy project, a smart and simple algorithm is proposed for all kinds of license plate recognition system. The proposed algorithm consists of three major stages: License Plate Localization, Segmentation of Characters and Recognition of segmented characters. In order to recognize the license plate, the number plate area has to be first located in the image. The goal of localization is to eliminate all the background and preserve only the number plate area from the input image. From this number plate area, the individual characters are then segmented out and recognized.
Authors and Affiliations
T. Selvakani, , Dr. N. Krishnan,
Keywords
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