Car License Plate Recognition by Using Template Matching Algorithm - Couverture souple

Yusuf, Arina; Lit, Asrani; Jamali, Annisa

 
9783659503757: Car License Plate Recognition by Using Template Matching Algorithm
Couverture souple
ISBN 10 : 3659503754 ISBN 13 : 9783659503757
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

The Car License Plate Recognition (CLPR) system is one of the important factors in the intelligent traffic engineering field. There are many researches on this topic whether handwritten character recognition, typewritten character recognition or other pattern recognition. CLPR is developed to recognise the car license plate with the implementation of Digital Image Processing (DIP) and Template Matching Algorithm (TMA) approach by using the MATLAB software. This project works on the offline input images collected by using digital camera. The method of this project is based on template matching where a character is identified by analysing its shape and the current input character is compared to each template to find either an exact match, or the template with the closest representation of the input character. Experimental results have shown the relatively high accuracy of the develop CLPR on a 100 sample image of car license plate.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The Car License Plate Recognition (CLPR) system is one of the important factors in the intelligent traffic engineering field. There are many researches on this topic whether handwritten character recognition, typewritten character recognition or other pattern recognition. CLPR is developed to recognise the car license plate with the implementation of Digital Image Processing (DIP) and Template Matching Algorithm (TMA) approach by using the MATLAB software. This project works on the offline input images collected by using digital camera. The method of this project is based on template matching where a character is identified by analysing its shape and the current input character is compared to each template to find either an exact match, or the template with the closest representation of the input character. Experimental results have shown the relatively high accuracy of the develop CLPR on a 100 sample image of car license plate.

Biographie de l'auteur

Arina Yusuf is a Bachelor in Electronic Engineering (Telecommunications) from Universiti Malaysia Sarawak (UNIMAS). Asrani Lit and Annisa Jamali are Research Scientists at UNIMAS.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659503754
ISBN 13 
9783659503757
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
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