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Text Area Extraction Method for Color Images Based on Labeling and Gradient Difference Method

레이블링 기법과 밝기값 변화에 기반한 컬러영상의 문자영역 추출 방법

  • 원종길 (경원대학교 일반대학원 전자계산학과) ;
  • 김혜영 (경원대학교 일반대학원 전자계산학과) ;
  • 조진수 (경원대학교 IT대학 컴퓨터공학과)
  • Received : 2011.10.18
  • Accepted : 2011.11.14
  • Published : 2011.12.28

Abstract

As the use of image input and output devices increases, the importance of extracting text area in color images is also increasing. In this paper, in order to extract text area of the images efficiently, we present a text area extraction method for color images based on labeling and gradient difference method. The proposed method first eliminates non-text area using the processes of labeling and filtering. After generating the candidates of text area by using the property that is high gradient difference in text area, text area is extracted using the post-processing of noise removal and text area merging. The benefits of the proposed method are its simplicity and high accuracy that is better than the conventional methods. Experimental results show that precision, recall and inverse ratio of non-text extraction (IRNTE) of the proposed method are 99.59%, 98.65% and 82.30%, respectively.

Keywords

Labeling;Color Image;Text Extraction;Gradient Difference

Acknowledgement

Supported by : 한국연구재단

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