مقاله انگلیسی رایگان در مورد رویکرد موثر سیستم تشخیص پلاک خودرو – IEEE 2018

مقاله انگلیسی رایگان در مورد رویکرد موثر سیستم تشخیص پلاک خودرو – IEEE 2018

 

مشخصات مقاله
انتشار مقاله سال ۲۰۱۸
تعداد صفحات مقاله انگلیسی ۹ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
منتشر شده در نشریه IEEE
نوع مقاله ISI
عنوان انگلیسی مقاله An Efficient Approach For Automatic License Plate Recognition System
ترجمه عنوان مقاله یک رویکرد موثر برای سیستم تشخیص پلاک خودرو
فرمت مقاله انگلیسی  PDF
رشته های مرتبط مهندسی کامپیوتر
گرایش های مرتبط هوش مصنوعی
مجله سومین کنفرانس بین المللی مهندسی فناوری دانش و مدیریت – Third International Conference on Science Technology Engineering & Management
دانشگاه Department of Computer Science and Engineering – Jeppiaar Engineering College
کلمات کلیدی تشخیص شماره پلاک خودرو (ANPR)، تشخیص پلاک خودرو (ALPR)، تقسیم کاراکتر، شماره پلاک خودرو، تطبیق الگو، تشخیص کاراکتر بصری (OCR)
کلمات کلیدی انگلیسی Automatic Number plate recognition(ANPR), Automatic License plate recognition(ALPR), character segmentation, vehicle number plate, template matching, Optical Character recognition (OCR)
کد محصول E7869
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بخشی از متن مقاله:
I. INTRODUCTION

TheAuto Recognition of License Plate systemexist for anextended time, however just in the late 90s, it transformed into a basic application due to the substantial addition in the aggregate of vehicles.The data removed from the tags is for the most part utilized for activity observing, get to control, stopping, motorway street tolling, and making auto logs for stopping frameworks, travel time estimation and so forward by the law authorization organizations. The recognition issue is by and large subdivided into 5 sections: (1) image acquisition i.e. capturing the picture of the number plate.(2) pre-processing the image, i.e. standardization, altering the illumination, skewness and difference of the image (3) character segmentation i.e. finding and distinguishing the individual image on the plate, (4) optical character recognition. There might be further refinements over these (like coordinating the vehicle permit number with a specific database to track speculated vehicles, and so on.) however the major structure continues as before. A controlling parameter in such manner is nation particular movement standards and gauges. This fines tune the framework, i.e. amount of characters in the tag, content luminance level (relative file, i.e. dim content on light foundation or light content on dull foundation) and so forward. So the issue can then be limited for application in a specific nation. For instance, in India the standard is printing the tag numbers in dark shading on a white foundation for private vehicles and on a yellow foundation for business vehicles. The general configuration of the tag is two letters (for state code) trailed by locale code, then a four digit code particular to a specific vehicle. In U.S.A no strict rules have been set with respect to the textual styles that can be exploited for this reason. The vehicle number plate is an example with high varieties of contrast[1]. This paper gives a summary of the research work so far around there and the methods utilized in built up a LPR system .The work is isolated into a few sections:image acquisition,number plate extraction, and number plate Character separation and number plate recognition stages [2]. Image Acquisition: This stage manages getting a image by a acqusition technique. In our proposed system, we utilized a high or low determination computerized camera and sufficient light source to secure the information picture. Number Plate Extraction: This stage removes the locale of intrigue, i.e., the tag, from the gained picture. The proposed approach includes “Covering of a district with high or low likelihood of tag and afterward examining the entire veiled area for tag.

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