Earticle

초록

영어

This paper presents a Uyghur text-line separation algorithm based on classified connected components of Uyghur Handwritten scripts. In order to get the location of main text-lines, this paper proposes an adaptive painting and thinning algorithm. To insure the efficiency of text-lines segmentation, the post-processing of text-line detection procedures are introduced. The experimental results show that the algorithm is strongly robust for segmentation of text-lines with having some skewness, touching and overlapping, and small strokes remained.

목차

Abstract
 1. Introduction
 2. Challenges
 3. The Proposed Method
  3.1 Pre-processing
  3.2 Piece Wise Smearing Algorithm
  3.3 Dilation and Thinning Algorithm
  3.4 Post-processing for Text Line Detection
 4. Experiments and Results
 Acknowledgements
 References

키워드

저자

• Kamil Moydin [ Institute of Information Science and Engineering, Xinjiang University, Urumqi, China, ]
• Yi Xiaofang [ Institute of Information Science and Engineering, Xinjiang University, Urumqi, China, ]
• Askar Hamdulla [ College of Software, Xinjiang University, Urumqi, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605