Detection and Recognition of Flashing Signboards in the Nighttime

• Main Authors: Hsieh,Chia-Hung, 謝家弘
• Other Authors: Tseng,Yi-Hong
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/96735228787507512667

碩士 === 大葉大學 === 資訊管理學系碩士班 === 102 === Modern technological advancement, the type of commercial signs are more diverse, in general terms, to obtain external information visually is the fastest way to have the most direct and we can sign on from the content business, get the necessary information, we want to find the place. While the car is moving at night as seen on both sides of the street there are many different types of signs, the Central Standing Committee nighttime image recognition studies are subject to different sources of interference identification more difficult to improve, so the video image is often affected by the light source. This study aims to capture the flashing signs from nighttime video screen and identify its internal text, in order to overcome the difficulties in tracking nighttime detection, the use of light for the signature characteristics, color and size variation determination flashing signs, flashing signs while doing Type determination, there are three main types of flashing, flashing different ways determine the difference, according to the last flicker type do text recognition. Mainly for the night environment, to detect signs flashed through experimental simulation experiment, experiment results and error analysis, to verify the feasibility of the proposed method in this study.