دانلود رایگان مقاله انگلیسی یک رویکرد موثر برای سیستم تشخیص پلاک خودرو - IEEE 2018

عنوان فارسی
یک رویکرد موثر برای سیستم تشخیص پلاک خودرو
عنوان انگلیسی
An Efficient Approach For Automatic License Plate Recognition System
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
9
سال انتشار
2018
نشریه
آی تریپل ای - IEEE
فرمت مقاله انگلیسی
PDF
کد محصول
E7869
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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)
چکیده

Abstract


Auto Recognition of License Plate is a kind of image processing technology for recognizing the number plate information from images or videos. The observed plate images are normally in low resolution and suffer severe loss of edge data, which cast, incredible test to existing vehicle number plate detection and recognition patterns.The process of Auto recognition of License plate requires a high level of precision, when there are various vehicles going in a brief span and number plate abstraction is a number is a difficult task, basically because of number arrangement, and impact of environmental work.This step influences the accuracy of character separation and acknowledgment framework. This paper introduces a algorithm for Auto recognition of license plate system utilizing various approaches.Auto recognition of license plate method comprises of three segments: Character segmentation, Optical character recognition and template matching.The proposed framework presents the automatic vehicle number plate identification system utilizing a vehicle number plate extraction. Another strategy utilizing Gabor filtering for character recognition in gray scale image is proposed in this paper. Components are separated directly from gray-scale character images by Gabor filters which are exceptionally intended for measurable data of character structures. Template matching is a system which is exploited to find a subimage of an target image which coordinates a template image. Experiment result outcomes to show the superiority of our proposed approach as far as effectiveness.

نتیجه گیری

VI. CONCLUSION


In this project, the proposed strategy is connected and tested on various images and contrasted with deference with acknowledgment time and accuracy. Broad research has been made in this proposed work to grow an accurate number plate acknowledgment framework. OCR produces less time and remarkable accuracy for template matching acknowledgment when contrasted with the past strategies. This demonstrates the speed of acknowledgment is enhanced a great deal.


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