Speed limit sign board detection and extraction of digits in different weather conditions

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2012.

Bibliografiske detaljer
Main Authors:	Rahman, Khan Hafizur Rahman, Alam, Md. Zubair
Andre forfattere:	Rahman, Md. Khalilur
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2013
Fag:	Electrical and electronic engineering
Online adgang:	http://hdl.handle.net/10361/2380

id	10361-2380
record_format	dspace
spelling	10361-23802019-09-29T05:43:40Z Speed limit sign board detection and extraction of digits in different weather conditions Rahman, Khan Hafizur Rahman Alam, Md. Zubair Rahman, Md. Khalilur Biswas, Rubel Department of Electrical and Electronic Engineering, BRAC University Electrical and electronic engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2012. Cataloged from PDF version of thesis report. Includes bibliographical references (page 43). The goal of this paper is to explore how to find the prohibitory speed detection board automatically by doing image processing. After detection, it detects the numerical portion from the board by OCR operation and informs the vehicles about the maximum speed allowed for that particular road. In this paper, we present a new modular traffic signs recognition system, successfully applied to all part of the world including country in Asia as well as Europe. Our sign detection step is based only on shape-detection (circle). We try to extract the red portion from the image then using Hough transformation (HT) we detect the circle from the image avoiding all other unnecessary information from the image. This system able to detect board in all situation like in bad lighting, noisy images, blurred images, dawn and dusk and also in different environment like foggy condition, snow fall area, sunny bright images with a very high detection rate. Speed sign candidates are classified by segmenting potential digits and then applying neural digit recognition. Khan Hafizur Rahman Rahman Rubel Biswas B. Electrical and Electronic Engineering 2013-04-30T17:58:11Z 2013-04-30T17:58:11Z 2012 Thesis ID 09101029 ID 09101012 http://hdl.handle.net/10361/2380 en BRAC University thesis 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. 43 pages application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Electrical and electronic engineering
spellingShingle	Electrical and electronic engineering Rahman, Khan Hafizur Rahman Alam, Md. Zubair Speed limit sign board detection and extraction of digits in different weather conditions
description	This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2012.
author2	Rahman, Md. Khalilur
author_facet	Rahman, Md. Khalilur Rahman, Khan Hafizur Rahman Alam, Md. Zubair
format	Thesis
author	Rahman, Khan Hafizur Rahman Alam, Md. Zubair
author_sort	Rahman, Khan Hafizur Rahman
title	Speed limit sign board detection and extraction of digits in different weather conditions
title_short	Speed limit sign board detection and extraction of digits in different weather conditions
title_full	Speed limit sign board detection and extraction of digits in different weather conditions
title_fullStr	Speed limit sign board detection and extraction of digits in different weather conditions
title_full_unstemmed	Speed limit sign board detection and extraction of digits in different weather conditions
title_sort	speed limit sign board detection and extraction of digits in different weather conditions
publisher	BRAC University
publishDate	2013
url	http://hdl.handle.net/10361/2380
work_keys_str_mv	AT rahmankhanhafizurrahman speedlimitsignboarddetectionandextractionofdigitsindifferentweatherconditions AT alammdzubair speedlimitsignboarddetectionandextractionofdigitsindifferentweatherconditions
_version_	1814307893793521664

Speed limit sign board detection and extraction of digits in different weather conditions

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