DocumentCode :
584672
Title :
Stroke-Based Chinese Character Completion
Author :
Xiaoqing Wang ; Xiaohui Liang ; Jiajia Hu ; Linjia Sun
Author_Institution :
State Key Lab. of virtual Reality Technol. & Syst., Beihang Univ., Beijing, China
fYear :
2012
fDate :
25-29 Nov. 2012
Firstpage :
281
Lastpage :
288
Abstract :
In this paper, we propose a method for completing the Chinese character in the image of Inscription rubbings or Chinese calligraphy that is corrupted by fissure and dirt. The method aim at completing the Chinese character from single image based only on the information the image contains. In our approach, for completing the corrupted image with Chinese characters, the structure of the Chinese characters is analyzed firstly using a modified stroke extraction method. All the contours of undamaged Chinese characters in the image are extracted and decomposed into a plausible set of strokes for reducing the problems by the strokes crossing or touching. Then, the structure of the characters in the missing regions is recovered by finding the similarity characters or similarity strokes though a partial contour matching method. Finally, we complete the image use the method with structure propagation, but the curves are not specified by user and are the contour of damaged characters we have recovered.
Keywords :
character recognition; feature extraction; image matching; Chinese calligraphy; image extraction; inscription rubbings; modified stroke extraction method; partial contour matching method; stroke-based Chinese character completion; structure propagation; undamaged Chinese character contour; Computational modeling; Feature extraction; Image segmentation; Junctions; Merging; Shape; Sun; character recovery; image completion; partial match; stroke extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-5152-2
Type :
conf
DOI :
10.1109/SITIS.2012.49
Filename :
6395107
Link To Document :
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