DocumentCode :
143541
Title :
Saudi license plate localization using hybrid method
Author :
Almustafa, Khaled ; Zantout, Rached
Author_Institution :
Coll. of Eng., Prince Sultan Univ., Riyadh, Saudi Arabia
fYear :
2014
fDate :
13-16 April 2014
Firstpage :
236
Lastpage :
241
Abstract :
In this paper, localizing Saudi license plates in images using the “character recognition” method is described. In this method, all possible objects from the license plate image are filtered to keep only objects which may belong to a Saudi license plate. Filtering is done by checking each object to see whether it is a possible letter or number (in Arabic or English) that could be part of a Saudi license plate. If there exist both Arabic and English patterns that agree, the license plate is recognized. The method correctly localized and recognized Saudi license plates 83.9% of the times. The cases where the method did not work were for noisy images of license plates.
Keywords :
character recognition; object tracking; traffic engineering computing; Arabic patterns; English patterns; Saudi license plate localization; character recognition; image filtering; license plate image; Character recognition; Conferences; Educational institutions; Feature extraction; Image recognition; Licenses; Object recognition; Topological relationship; character recognition; license plates localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
Conference_Location :
Beirut
Type :
conf
DOI :
10.1109/MELCON.2014.6820538
Filename :
6820538
Link To Document :
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