Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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The Character Recognition System of Mobile Camera Based Image

모바일 이미지 기반의 문자인식 시스템

  • Park, Young-Hyun (Information and Telecommunication, Korea Aerospace University) ;
  • Lee, Hyung-Jin (Information and Telecommunication, Korea Aerospace University) ;
  • Baek, Joong-Hwan (Information and Telecommunication, Korea Aerospace University)
  • 박영현 (한국항공대학교 정보통신공학과) ;
  • 이형진 (한국항공대학교 정보통신공학과) ;
  • 백중환 (한국항공대학교 정보통신공학과)
  • Received : 2010.04.23
  • Accepted : 2010.05.13
  • Published : 2010.05.31
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Abstract

Recently, due to the development of mobile phone and supply of smart phone, many contents have been developed. Especially, since the small-sized cameras are equiped in mobile devices, people are interested in the image based contents development, and it also becomes important part in their practical use. Among them, the character recognition system can be widely used in the applications such as blind people guidance systems, automatic robot navigation systems, automatic video retrieval and indexing systems, automatic text translation systems. Therefore, this paper proposes a system that is able to extract text area from the natural images captured by smart phone camera. The individual characters are recognized and result is output in voice. Text areas are extracted using Adaboost algorithm and individual characters are recognized using error back propagated neural network.

최근 모마일 폰의 발달과 스마트 폰의 보급으로 인해서 많은 콘텐츠들이 개발되어지고 있다. 특히, 모바일 휴대장치에 소형 카메라가 탑재되면서부터 카메라로부터 입력되어지는 영상 기반 콘텐츠 개발은 사람들의 흥미뿐만 아니라 활용 면에서도 중요한 부분을 차지하고 있다. 그중 문자인식 시스템은 시각 장애인 보행 보조 시스템, 로봇 자동 주행 시스템, 비디오 자동 검색 및 색인 시스템, 텍스트 자동 번역 시스템 등과 같은 활용영역에서 매우 광범위하게 쓰일 수 있다. 따라서 본 논문에서는 스마트 폰 카메라로 입력되는 자연 영상에 포함되어 있는 텍스트를 추출 및 인식하고 음성으로 출력해주는 시스템을 제안하였다. 텍스트 영역을 추출하기 위해 Adaboost 알고리즘을 이용하고 추출된 개별 텍스트 후보영역의 문자 인식에는 오류 역전파 신경망을 이용하였다.

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