Text line segmentation in Chinese handwritten text images
null Chengdong Zhang; null GueeSang Lee;
Text line segmentation in Chinese handwritten text images
In this paper, text line segmentation based on 2-D Tensor Voting is proposed, 2-D tensor voting is used to remove outliers and located center points of connected components. The saliency values and direction of normal vectors are represented information of tensors for segmentation. The text images obtained from HIT-MW dataset.
- Chonnam National University Korea (Republic of)
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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