DocumentCode :
3486171
Title :
Stroke-Based Character Segmentation of Low-Quality Images on Ancient Chinese Tablet
Author :
Xiaoqing Lu ; Zhi Tang ; Yan Liu ; Liangcai Gao ; Ting Wang ; Zhipeng Wang
Author_Institution :
State Key Lab. of Digital Publishing Technol., Peking Univ., Beijing, China
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
240
Lastpage :
244
Abstract :
Ancient Chinese tablets are invaluable in terms of historical and aesthetic value. Automatic character segmentation of images from degraded tablets poses a challenging problem. Therefore, this paper proposes a new character segmentation method that utilizes an enhanced stroke filter and an energy propagation process based on local layout information. A ground-truth dataset was established to evaluate the accuracy of the algorithm adopted by the proposed segmentation method. Experimental results indicate that the proposed method can effectively extract characters from low-quality ancient Chinese tablet images.
Keywords :
character recognition; filtering theory; image segmentation; natural language processing; ancient Chinese tablet; automatic character segmentation; energy propagation process; enhanced stroke filter; ground-truth dataset; local layout information; low-quality images; stroke-based character segmentation; Image edge detection; Image segmentation; Noise; Silicon; Skeleton; Text analysis; Chinese tablet image; character localization; character segmentation; enhanced stroke filter; stroke detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
ISSN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2013.55
Filename :
6628620
Link To Document :
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