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An Approach for Benin Automatic Licence Plate Recognition
Tahirou DJARA, Marc Kokou ASSOGBA, Antoine VIANOU
Pages - 25 - 34     |    Revised - 01-03-2017     |    Published - 01-04-2017
Volume - 11   Issue - 2    |    Publication Date - April 2017  Table of Contents
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KEYWORDS
Image Processing, License Plates, Segmentation, LAPI, ROC.
ABSTRACT
In this work, we read licence plates using Optical Character Recognition. Our algorithm relies on the detection of plates on the basis of contours and text that they contain. Thank to the combinaison of these two detection mode, our algorithm remains effective even when the plate is slightly obstructed. For the separation of false positive from real images of license plates, we use filters based on text and registration plates general characteristics. This gives our algorithm a great ability to adapt to different contexts. Following our experimental test on license plates in Benin, we obtained a recall rate of 86% and an accuracy rate of 60%.
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Dr. Tahirou DJARA
Laboratory of Electronic Engineering, Telecommunications and Applied data Processing Technology. Ecole Polytechnique of Abomey Calavi (EPAC). University of Abomey-Calavi. 01 BP 2009 Cotonou - Benin
csm.djara@gmail.com
Associate Professor Marc Kokou ASSOGBA
Laboratory of Electronic Engineering, Telecommunications and Applied data Processing Technology. Ecole Polytechnique of Abomey Calavi (EPAC). University of Abomey-Calavi. 01 BP 2009 Cotonou - Benin
Professor Antoine VIANOU
Laboratory of Electronic Engineering, Telecommunications and Applied data Processing Technology. Ecole Polytechnique of Abomey Calavi (EPAC). University of Abomey-Calavi. 01 BP 2009 Cotonou - Benin