作者
Syed Saqib Bukhari, Faisal Shafait, Thomas M Breuel
发表日期
2009/7/26
研讨会论文
2009 10th International Conference on Document Analysis and Recognition
页码范围
446-450
出版商
IEEE
简介
Handwritten document images contain textlines with multi orientations, touching and overlapping characters within consecutive textlines, and small inter-line spacing making textline segmentation a difficult task. In this paper we propose a novel, script-independent textline segmentation approach for handwritten documents, which is robust against above mentioned problems. We model textline extraction as a general image segmentation task. We compute the central line of parts of textlines using ridges over the smoothed image. Then we adapt the state-of-the-art active contours (snakes) over ridges, which results in textline segmentation. Unlike the "level set'' and "Mumford-Shah model'' based handwritten textline segmentation methods, our method use matched filter bank approach for smoothing and does not require heuristic post processing steps for merging or splitting segmented textlines. Experimental results …
学术搜索中的文章
SS Bukhari, F Shafait, TM Breuel - 2009 10th International Conference on Document …, 2009