DocumentCode :
1923498
Title :
Reconstructing Strokes and Writing Sequences from Chinese Character Images
Author :
Tang, Kai-tai ; Leung, Howard
Author_Institution :
City Univ. of Hong Kong, Kowloon
Volume :
1
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
160
Lastpage :
165
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.
Keywords :
feature extraction; handwritten character recognition; image reconstruction; image sequences; natural language processing; performance evaluation; visual databases; Chinese character image sequence; dictionary; performance evaluation; public Chinese character database; stroke extraction algorithm; stroke sequence reconstruction algorithm; Character recognition; Cybernetics; Data mining; Dictionaries; Image databases; Image reconstruction; Image segmentation; Machine learning; Reconstruction algorithms; Writing; Chinese character; HITPU database; Stroke sequence estimation; pattern classification; stroke extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370133
Filename :
4370133
Link To Document :
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