International Journal of Engineering، جلد ۲۶، شماره ۱۱، صفحات ۱۳۴۷-۱۳۵۶

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عنوان انگلیسی Real Time Implementation of a License Plate Location Recognition System Based on Adaptive Morphology
چکیده انگلیسی مقاله License plate recognition (LPR) by using morphology has the advantage of resistance to brightness changes; high speed processing, and low complexity. However these approaches are sensitive to the distance of the plate from the camera and imaging angle. Various assumptions reported in other works might be unrealistic and cause major problems in practical experiences. In this paper we considered morphological approaches and improved them by using adaptive techniques to achieve more compatibility with practical applications. We examined the developed system on several car plate image databases with different conditions like different camera distance, and different car views. The average achieved rate of success was 89.95% for car plate location recognition, which is around 6.0% higher than previous related report of morphological methods. We further implemented the system on an FPGA platform.
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نویسندگان مقاله Omid Sharifi Tehrani |
Electrical Engineering, Islamic Azad University

Navid DaneshmandPour |
Electrical Engineering, Islamic Azad University majlesi branch

Mohsen Ashourian |
Electerical Engineering, Islamic Azad university of Majlesi Branch

Payman Moallem |
Department of Electrical Engineering, Faculty of Engineering


نشانی اینترنتی http://www.ije.ir/article_72205_5bd5a1da018285871152216ddb75dbaf.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062833.pdf
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زبان مقاله منتشر شده en
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