Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Մատենագիտական մանրամասներ
Հիմնական հեղինակներ: Nasim, Hamim Ibne, Printia, Fateha Jannat, Himel, Mahamudul Hasan, Rashid, Rubaba, Chowdhury, Iffat Jahan
Այլ հեղինակներ: Noor, Jannatun
Ձևաչափ: Թեզիս
Լեզու:English
Հրապարակվել է: Brac University 2024
Խորագրեր:
Առցանց հասանելիություն:http://hdl.handle.net/10361/23078
id 10361-23078
record_format dspace
spelling 10361-230782024-06-03T21:01:35Z Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather Nasim, Hamim Ibne Printia, Fateha Jannat Himel, Mahamudul Hasan Rashid, Rubaba Chowdhury, Iffat Jahan Noor, Jannatun Department of Computer Science and Engineering, Brac University YOLOv8 Automatic license plate detection Image processing Dark Channel Prior EasyOCR Neural networks Deep learning Cognitive learning theory Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 57-61). "The intention of autonomous license plate (LP) detection is to find an LP spot in a picture without any kind of human intervention. Automatic license plate detection (ALPD) techniques have been developed; however, the majority of them do not take into account the numerous potentially hazardous image cases that frequently arise during actual driving scenarios. Hazardous picture conditions include low contrast settings, objects that are comparable to LP in the background, LP areas that are inclined horizontally, and weather effects like rain or fog. In this study, we present a novel approach to localizing and recognizing Bangla car plates in foggy or rainy weather using the Dark Channel Prior (DCP) approach for dehazing foggy images. There are three parts to the suggested method. In the first stage, the DCP dehazing algorithm is used to reduce the foggy effect on the input images. In the second stage, a YOLOv8 object detection model is used to detect the Bangla license plates from the dehazed images and lastly, the OCR technique is used to recognize and extract texts from the identified images of the license plates. Thus, our study aims to use DCP, the YOLOv8 algorithm, and the OCR technique to identify and recognize Bangla vehicle plates in foggy conditions in order to improve transportation safety, law enforcement, traffic flow, and tax revenue collection." Hamim Ibne Nasim Fateha Jannat Printia Mahamudul Hasan Himel Rubaba Rashid Iffat Jahan Chowdhury B.Sc in Computer Science 2024-06-03T05:14:47Z 2024-06-03T05:14:47Z 2024 2024-01 Thesis ID 20301443 ID 20301357 ID 20301397 ID 20301267 ID 20301050 http://hdl.handle.net/10361/23078 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 61 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic YOLOv8
Automatic license plate detection
Image processing
Dark Channel Prior
EasyOCR
Neural networks
Deep learning
Cognitive learning theory
Neural networks (Computer science)
spellingShingle YOLOv8
Automatic license plate detection
Image processing
Dark Channel Prior
EasyOCR
Neural networks
Deep learning
Cognitive learning theory
Neural networks (Computer science)
Nasim, Hamim Ibne
Printia, Fateha Jannat
Himel, Mahamudul Hasan
Rashid, Rubaba
Chowdhury, Iffat Jahan
Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.
author2 Noor, Jannatun
author_facet Noor, Jannatun
Nasim, Hamim Ibne
Printia, Fateha Jannat
Himel, Mahamudul Hasan
Rashid, Rubaba
Chowdhury, Iffat Jahan
format Thesis
author Nasim, Hamim Ibne
Printia, Fateha Jannat
Himel, Mahamudul Hasan
Rashid, Rubaba
Chowdhury, Iffat Jahan
author_sort Nasim, Hamim Ibne
title Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
title_short Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
title_full Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
title_fullStr Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
title_full_unstemmed Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
title_sort dark channel prior (dcp) based bangla car plate detection and recognition in foggy weather
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/23078
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AT himelmahamudulhasan darkchannelpriordcpbasedbanglacarplatedetectionandrecognitioninfoggyweather
AT rashidrubaba darkchannelpriordcpbasedbanglacarplatedetectionandrecognitioninfoggyweather
AT chowdhuryiffatjahan darkchannelpriordcpbasedbanglacarplatedetectionandrecognitioninfoggyweather
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