تشخیص کاراکتر فارسی پلاک خودرو، مستقل از چرخش و اندازه با استفاده از ممان‌های متعامد

نوع مقاله : علمی - پژوهشی

نویسندگان

1 استادیار، گروه مهندسی کامپیوتر، دانشگاه آزاد اسلامی، تهران جنوب، تهران، ایران

2 دانشجوی کارشناسی ارشد، واحد بوشهر، دانشگاه آزاد اسلامی

چکیده

چکیده
امروزه با گسترش روز افزون سرعت تولید و واردات خودرو به کشور ایجاد سیستم‌های شناسایی و تشخیص پلاک خودرو امری ضروری به نظر می‌رسد. این عامل باعث گردیده است کنترل تردد ترافیک خودرو توسط نیروی انسانی بسیار ناممکن به نظر برسد. استفاده از این سیستم‌ها در صورتی که با شرائط محیطی کشور سازگار باشد باعث کاهش قابل توجهی از هزینه‌ها می‌گردد. از سویی این حجم عمده از وسایل نقلیه باعث گردیده است تا شیوه‌های سنتی دیگر جوابگو نبوده و مشکلات خاص خود را داشته باشد. همچنین با توجه به وضعیت جوی و آب و هوایی کشور ایجاد سیستمی کارا با دقت مناسب و سازگار با انواع شرائط محیطی و نوری و یکپارچه که توانایی دقت تشخیص بالایی در تشخیص کاراکترهای پلاک خودرو داشته باشد کاملاً احساس می‌گردد. بنا بر این با توجه به اهمیت موضوع در این مقاله تلاش گردیده است تا راهکاری جهت بهبود توانایی تشخیص و پیش‌بینی کاراکتر پلاک خودرو فارسی ایجاد گردد. در این مقاله از پایگاه داده‌ای شامل 600 تصویر رنگی وسایل نقلیه موجود در کشور ایران به اندازه680‌ *480 استفاده گردیده است. همچنین در این پژوهش علاوه بر بررسی چالش‌های موجود به ارائه راهکارهایی جهت بهبود پیش‌بینی در مراحل مختلف می‌پردازد.  از مزایای روش پیشنهادی علاوه بر دقت بالا، انعطاف‌پذیری و قابلیت پیاده‌سازی در دنیای واقعی و همچنین توانایی کار در شرائط محیطی جوی و نوری مختلف را می‌توان نام برد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Persian character recognition of vehicle registration plate, independent of rotation and size using orthogonal moments

نویسندگان [English]

  • Ali Broumandnia 1
  • Mohsen Gholami 2
1 Assistant Professor of Computer Engineering, Islamic Azad University-South Tehran Branch
2 Master's degree student of Bushehr Azad University
چکیده [English]

Abstract
Today, with the increasing production rate and importation of vehicles in Iran , identifing of vehicle registration plate recognition systems seem necessary.
This factor has caused traffic control vehicle traffic by human staff seem impossible. If use of these systems are compatible with the country's environmental situation, they causing a significant reduction of costs for traffic controlling. Meanwhile, the huge amount of the vehicles have caused other traditional procedures are not applicable.
Due to atmospheric and climatic conditions of the country, creating an efficient system compatible with a variety of environmental conditions and optical precision is essential. The system must have high diagnostic accuracy in distinguishing characters have vehicle registration plates.Therefore, given the importance of this paper is an attempt to solution to improve the ability to detect and predict farsi vehicle registration plate characters to be created. In this paper, the database contains 600 color images of vehicles in the country the size of 680 x 480 is used. In this study, in addition to the existing challenges to provide guidelines for improving forecasts in various stages. The advantages of the proposed method in addition to high precision, flexibility and the ability to implement in the real world as well as the ability to work under ambient conditions and atmospheric lighting can be named.
Some problems that can be caused administrative problems in this regard will be occurred that must be resolved in the next steps. Usually there will be resistance by some factors involved that must be solved by interacting.

کلیدواژه‌ها [English]

  • Keywords: Online vehicle registration plate recognition system
  • Vehicle registration plate locating
  • Segment Characterizing
  • Study of character feature extraction
  • check thresholding and binary images
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