Line Segmentation and Orientation Algorithm for Automatic Bengali License Plate Localization and Recognition
Author(s) -
Md. Rokibul,
Saddam Hossain,
Sagor Roy,
Nashid Alam,
M.I. Jahirul
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016912220
Subject(s) - bengali , computer science , license , artificial intelligence , orientation (vector space) , segmentation , computer vision , line (geometry) , pattern recognition (psychology) , algorithm , geometry , mathematics , operating system
Automatic License Plate Recognition (ALPR) is an image processing technology which used to identify vehicles by their license plate. In this paper, an ALPR system is developed where adaptive resize and crop are used for better efficiency. For highlighting the license plate region image morphology, horizontal and vertical extraction has been used. Line Segmentation and Orientation (LSO) algorithm is proposed for segmentation which is also effective in efficient searching for signs of the license plate and finally template matching has been used for recognition. The proposed method works successfully with the recognition rate of 84.87%. Moreover, some license plates with different fonts of writings have been given true positive results which are not issued by the government. So, the proposed method will be helpful not only in license plate recognition but also in other field of Bangla optical character recognition.
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