Volume 12, Issue 1 (6-2015)
JSDP 2015, 12(1): 47-56 |
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Montazer G A, shayestehfar M. Iranian License Plate identification with fuzzy support vector machine . JSDP 2015; 12 (1) :47-56
URL: http://jsdp.rcisp.ac.ir/article-1-120-en.html
URL: http://jsdp.rcisp.ac.ir/article-1-120-en.html
Abstract: (10673 Views)
License plate recognition is one of the most important applications used in intelligent transportation systems. Difficulty of correct detection and identification of the car plates in different environment conditions makes researchers try new approaches to better solve the problem. License plate recognition problem is divided into three sub problems: "Plate Location", "Character Segmentation", and "Character Identification". In this paper we have tried to improve location and identification of Iranian license plate with fuzzy rules. License locating has been done with edge detection, morphological operations and using fuzzy rules and characters have been identified by fuzzy support vector machine. By applying the algorithm on 50 images, 90% of plates were located and 94% of characters were identified successfully. This shows superiority of our algorithm over non-fuzzy approaches.
Type of Study: Research |
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Paper
Received: 2013/06/12 | Accepted: 2015/04/18 | Published: 2015/07/8 | ePublished: 2015/07/8
Received: 2013/06/12 | Accepted: 2015/04/18 | Published: 2015/07/8 | ePublished: 2015/07/8
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