Automatic Recognition System of Speed Limit Signs

碩士 === 國立彰化師範大學 === 電機工程學系 === 99 === The traffic signs are used to provide the traffic information for all drivers and pedestrians. Drivers often pay most attention on the road but ignore the traffic signs on both sides of the road. A driver assistance system is to remind driver of traffic sign con...

Full description

Bibliographic Details
Main Authors: Ji,Chang-An, 紀長安
Other Authors: 王朝興
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/10052271684091337627
id ndltd-TW-099NCUE5442067
record_format oai_dc
spelling ndltd-TW-099NCUE54420672016-04-11T04:22:19Z http://ndltd.ncl.edu.tw/handle/10052271684091337627 Automatic Recognition System of Speed Limit Signs 限速標誌之自動辨識系統 Ji,Chang-An 紀長安 碩士 國立彰化師範大學 電機工程學系 99 The traffic signs are used to provide the traffic information for all drivers and pedestrians. Drivers often pay most attention on the road but ignore the traffic signs on both sides of the road. A driver assistance system is to remind driver of traffic sign contents while driving a car. This paper presents a detection and recognition system of speed limit signs. The traffic signs are detected in the RGB color space. The extracted red circle frame is selected by size, height and width to obtain the appropriate circle frame. The number inside the red circle frame was extracted and normalized. After normalization, the number is compared with the sample to obtain the recognition result. The method we proposed is tested at static state and real time state. The image recognition rate of traffic signs is 91.5% with detecting 109 signs out of 119 signs. The real time recognition rate of traffic signs is 87% with detecting 128 signs out of 147 signs. The results demonstrate the feasibility of this method. 王朝興 2011 學位論文 ; thesis 55 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立彰化師範大學 === 電機工程學系 === 99 === The traffic signs are used to provide the traffic information for all drivers and pedestrians. Drivers often pay most attention on the road but ignore the traffic signs on both sides of the road. A driver assistance system is to remind driver of traffic sign contents while driving a car. This paper presents a detection and recognition system of speed limit signs. The traffic signs are detected in the RGB color space. The extracted red circle frame is selected by size, height and width to obtain the appropriate circle frame. The number inside the red circle frame was extracted and normalized. After normalization, the number is compared with the sample to obtain the recognition result. The method we proposed is tested at static state and real time state. The image recognition rate of traffic signs is 91.5% with detecting 109 signs out of 119 signs. The real time recognition rate of traffic signs is 87% with detecting 128 signs out of 147 signs. The results demonstrate the feasibility of this method.
author2 王朝興
author_facet 王朝興
Ji,Chang-An
紀長安
author Ji,Chang-An
紀長安
spellingShingle Ji,Chang-An
紀長安
Automatic Recognition System of Speed Limit Signs
author_sort Ji,Chang-An
title Automatic Recognition System of Speed Limit Signs
title_short Automatic Recognition System of Speed Limit Signs
title_full Automatic Recognition System of Speed Limit Signs
title_fullStr Automatic Recognition System of Speed Limit Signs
title_full_unstemmed Automatic Recognition System of Speed Limit Signs
title_sort automatic recognition system of speed limit signs
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/10052271684091337627
work_keys_str_mv AT jichangan automaticrecognitionsystemofspeedlimitsigns
AT jìzhǎngān automaticrecognitionsystemofspeedlimitsigns
AT jichangan xiànsùbiāozhìzhīzìdòngbiànshíxìtǒng
AT jìzhǎngān xiànsùbiāozhìzhīzìdòngbiànshíxìtǒng
_version_ 1718220425813557248