KSII Transactions on Internet and Information Systems (TIIS)

  • 제11권1호
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  • Pages.345-359
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  • 2017
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Illumination-Robust Foreground Extraction for Text Area Detection in Outdoor Environment

  • Lee, Jun (Department of Intelligent Robot Engineering, Mokwon University) ;
  • Park, Jeong-Sik (Department of Information and Communication Engineering, Yeungnam University) ;
  • Hong, Chung-Pyo (MC Division, LG Electronics) ;
  • Seo, Yong-Ho (Department of Intelligent Robot Engineering, Mokwon University)
  • 투고 : 2016.09.01
  • 심사 : 2016.12.08
  • 발행 : 2017.01.31
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초록

Optical Character Recognition (OCR) that has been a main research topic of computer vision and artificial intelligence now extend its applications to detection of text area from video or image contents taken by camera devices and retrieval of text information from the area. This paper aims to implement a binarization algorithm that removes user intervention and provides robust performance to outdoor lights by using TopHat algorithm and channel transformation technique. In this study, we particularly concentrate on text information of outdoor signboards and validate our proposed technique using those data.

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참고문헌

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