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Diyala Journal for Pure Science

Scientific Refereed Journal Published By College of Science - University of Diyala


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Diyala Journal For Pure Sciences DJPS

ISRA Impact Factor:3.715

P- ISSN:2222-8373, E-ISSN:2518-9255

Volume 14, Issue 2 , April . 2018



Iraqi Plate Number Recognition Using Single Value Decomposition (SVD)


Manar Muafak Rashied


Year: 2018, Volume: 14, Issue: 2


Pages: 140-152 , DOI: http://dx.doi.org/10.24237/djps.1402.391A


Language: English


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Distinguishing car plate numbers is an important topic of researchers' concern, which   assures the process required to be high speed and acceptable accuracy, with the need to access the database and verify it if there was a problem and give a warning if it is necessary. A method is proposed in this paper to distinguish the plate of Iraqi vehicles (new forms), which will prevail in the end, depends on the pre-processing of the image and apply some filters such as (median filter) as well as improving the image before starting the proposed method, which relies on a normalization in the horizontal and vertical direction process and then segment the image into regions. Information is extracted from each region, such as the area that defines the type of vehicle if it is a governmental, private, taxi, or others. The region that characterizes the city as well as Arabic and English, numbers region is segmented and then transform with single value decomposition (SVD) on the image and get features that will send to the database for identification. The proposed method has given a percentage of accuracy of about 90.4 % in the process of discrimination with significant time complexity on average using K-Nearest Neighbor K-NN classifier. It possible to implement the proposed method with application of emergency alarm, to give a warning alert.


Keyword: SVD, affine transform, image segmentation, image enhancement and K-NN.

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