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Paper
title

A method to Automatic license plate detectionby using fuzzy logic classifier

Credit to Download: 1 | Page Numbers 10 | Abstract Views: 258
Year: 2016
COI code: COMCONF02_230
Paper Language: English

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Authors A method to Automatic license plate detectionby using fuzzy logic classifier

  Asma khalili - Islamic azad Department of computer engineering, Baft branch, Islamic azad 1university, Baft, Iran
  Farokh Koroupi - Islamic azad Department of computer engineering, Baft branch, Islamic azad 1university, Baft, Iran

Abstract:

Automatic Number Plate Recognition is a mass surveillance system that captures the image of vehicles and recognizes their licence number. ANPR can be used in many applications, such as electronic payment systems (toll payment, parking fee payment), freeway, arterial monitoring systems for traffic surveillance and detection of stolen vehicles. In previous studies, there are so many methodologies were proposed to resolve the following challenges (location quantity, size, colour, font, occlusion, inclination etc) in extracting information from the captured image but every algorithm has their own draw back between accuracy of detection and processing speed. In the proposed multistyle detection method uses the fuzzy logic classifiers which help toidentify the plate and characters with better accuracy and processing speed

Keywords:

Plate detection, Character extraction and recognition, Adaptation threshold, Neural Networks, Filtering, Multiresolution

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COI code: COMCONF02_230

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khalili, Asma & Farokh Koroupi, 2016, A method to Automatic license plate detectionby using fuzzy logic classifier, 2nd International Conference on Electrical Engineering and Computer Science finds new research, رامسر, موسسه آموزش عالي غيرانتفاعي كسري رامسر, https://www.civilica.com/Paper-COMCONF02-COMCONF02_230.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
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The University/Research Center Information:
Type: Azad University
Paper No.: 362
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