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...
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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 |
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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.
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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 |
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