An Approach for Benin Automatic Licence Plate Recognition

Simple item page
AuteurDJARA, TAHIROU
AuteurASSOGBA, KOKOU MARC
AuteurVIANOU, ANTOINE
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2017
ResumeIn 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%.
Autre identifiantBECDB-3932
URIhttps://dspace.uac.bj/handle/123456789/3782
Languefr
Fait partie deInternational Journal of Image Processing (IJIP)
Sujetimage processing
SujetLicense Plates
SujetSegmentation
SujetLAPI
SujetROC
TitreAn Approach for Benin Automatic Licence Plate Recognition
TypeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
c0b7bb76a1917719c26c72c340caf631.pdf
Size:
417.07 KB
Format:
Adobe Portable Document Format
Download

Collections

Articles