Please use this identifier to cite or link to this item:
Authors: Tang, Jeff Kai Tai (鄧啟泰)
Dr. Leung, Howard Wing Ho
Department: Department of Computer Science
Issue Date: Aug-2007
Award: Won the Lotfi Zadeh Best Paper Award in the 6th International Conference on Machine Learning and Cybernetics (ICMLC 2007)
Subjects: Stroke sequence estimation
pattern classification
Chinese character
stroke extraction
HITPU database
Type: Article
Abstract: The Chinese characters evolved from pictograms and they are composed of strokes. A standard stroke sequence for each character is available in the dictionary. People introduced heuristic rules to specify the stroke order for easy memorization but it is very ambiguous to reconstruct the dictionary sequence according to the heuristic rules. In this paper, we combine the stroke extraction and stroke sequence reconstruction algorithms to reconstruct the strokes and their sequence from a Chinese character image. A well-known public Chinese character database (the HITPU database) is used as our input data. Performance evaluation shows the robustness of our proposed method and user evaluation shows that our proposed system helps users to create online Chinese character templates quickly and conveniently.
Appears in Collections:Student Works With External Awards

Files in This Item:
File Description SizeFormat 
award_news.html161 BHTMLView/Open
award_winning_work.html145 BHTMLView/Open

Items in Digital CityU Collections are protected by copyright, with all rights reserved, unless otherwise indicated.