Recognition of Characters on Vehicle License Plates;

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2010

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Airframe and Powerplant Maintenance
(2012)
The Atılım University Department of Airframe and Powerplant Maintenance has been offering Civil Aviation education in English since 2012. In an effort to provide the best level of education, ATILIM UNIVERSITY demonstrated its merit as a role model in Civil Aviation Education last year by being granted a SHY 147 certificate with the status of “Approved Aircraft Maintenance Training Institution” by the General Directorate of Civil Aviation. The SHY 147 is a certificate for Approved Aircraft Maintenance Training Institutions. It is granted to institutions where training programs have undergone inspection, and the quality of the education offered has been approved by the General Directorate of Civil Aviation. With our Civil Aviation Training Center at Esenboğa Airport (our hangar), and the two Cessna-337 planes with double piston engines both of which are fully operational, as well our Beechcraft C90 Kingait plaine with double Turboprop engines, Atılım University is an institution to offer hands-on technical training in civil aviation, and one that strives to take the education it offers to the extremes in terms of technology. The Atılım university Graduate School Department of Airframe and Powerplant Maintenance is a fully-equipped civil aviation school to complement its theoretical education with hands-on training using planes of various kinds. Even before their graduation, most of our students are hired in Turkey’s most prestigious institutions in such a rapidly-developing sector. We are looking forward to welcoming you at this modern and contemporary institution for your education in civil aviation.

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In this study, a simple and effective method is proposed for segmenting alphanumeric and numeric characters on vehicle license plates and recognizing the segmented characters.The proposed approach is basically based on template matching technique. Features used for matching are obtained by scanning the segmented characters from left-to-right, right-to-left, top-to-bottom, and bottom-to-top. The features extracted in this way reveals the fact that how a character is moving and changing along its four-side.The character recognition is accomplished by using this information of the character.Experiments done show that successful results are obtained. ©2010 IEEE.

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SIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference -- 18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 -- 22 April 2010 through 24 April 2010 -- Diyarbakir -- 83388

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768

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771

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https://doi.org/10.1109/SIU.2010.5651693
 https://hdl.handle.net/20.500.14411/3626

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