Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >
Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13852
|
Titre: | Improving the License Plate Character Segmentation Using Naïve Bayesian Network |
Auteur(s): | Rouigueb, Abdenebi Demim, Fethi Belaidi, Hadjira Messaoui, Ali Zakaria Benatia, Mohamed Akrem Djamaa, Badis |
Mots-clés: | Character Segmentation CNN DTW License Plate Naïve Bayesian Network |
Date de publication: | 2023 |
Editeur: | Science and Technology Publications, Lda |
Collection/Numéro: | In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO 2023,Rome;PP. 61 - 68 |
Résumé: | Character segmentation plays a pivotal role in automatic license plate recognition (ALPR) systems. Assuming that plate localization has been accurately performed in a preceding stage, this paper mainly introduces a character segmentation algorithm based on combining standard segmentation techniques with prior knowledge about the plate’s structure. We propose employing a set of relevant features on-demand to classify detected blocks into either character or noise and to refine the segmentation when necessary. We suggest using the naïve Bayesian network (NBN) classifier for efficient combination of selected features. Incrementally, one after one, high computational cost features are computed and involved only if the low-cost ones cannot decisively determine the class of a block. Experimental results on a sample of Algerian car license plates demonstrate the efficiency of the proposed algorithm. It is designed to be more generic and easily extendable to integrate other features into the process. |
URI/URL: | https://www.scitepress.org/Link.aspx?doi=10.5220/0012091500003543 10.5220/0012091500003543 https://pdfs.semanticscholar.org/9f24/b5581b60fcca41ceac39dcf008346dcbb4e9.pdf http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13852 |
ISBN: | 978-989-758-670-5 |
ISSN: | 2184-2809 |
Collection(s) : | Communications Internationales
|
Fichier(s) constituant ce document :
|
Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.
|