원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.3
2015.03
pp.291-302
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보