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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.