Sinopsis
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.
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Reseña del editor
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.
Biografía del autor
Arina Yusuf is a Bachelor in Electronic Engineering (Telecommunications) from Universiti Malaysia Sarawak (UNIMAS). Asrani Lit and Annisa Jamali are Research Scientists at UNIMAS.
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Car License Plate Recognition by Using Template Matching Algorithm
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Car License Plate Recognition by Using Template Matching Algorithm
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 76 pp. Englisch. Nº de ref. del artículo: 9783659503757
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Car License Plate Recognition by Using Template Matching Algorithm
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yusuf ArinaArina Yusuf is a Bachelor in Electronic Engineering (Telecommunications) from Universiti Malaysia Sarawak (UNIMAS). Asrani Lit and Annisa Jamali are Research Scientists at UNIMAS.The Car License Plate Recognition (CLPR. Nº de ref. del artículo: 5160648
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Car License Plate Recognition by Using Template Matching Algorithm
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Nº de ref. del artículo: 9783659503757
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Car License Plate Recognition by Using Template Matching Algorithm
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ISBN 10: 3659503754
ISBN 13: 9783659503757
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783659503757
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ISBN 13: 9783659503757
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Taschenbuch. Condición: Neu. Car License Plate Recognition by Using Template Matching Algorithm | Arina Yusuf (u. a.) | Taschenbuch | 76 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659503757 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Nº de ref. del artículo: 105476651
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