Abstract
The result of segmented digital ink text in Chinese includes three levels of objects: characters, lines and paragraphs. Characters form a significant percentage in the result and the situations of them are always complex. Automatic methods hardly provide completely correct result of extracted characters. So the result needs to be modified by human-computer interactive operation. Optimized visualization can improve the efficiency of modification. With the modification of the errors of extracted characters, according to the adjacency and overlapping among characters, this paper proposes a self-adaptive visualization. The approach gets rectangular bounding box of characters; if they are overlapping, the approach changes to convex hull to visualize the segmented characters; if they are still overlapping, the approach uses different colors to perform the segmented characters. Tested on many sorts of extracted characters from digital ink text in Chinese, the approach is effective.
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