Dynamic Time Warping for Chinese calligraphic character matching and recognizing

Authors:
Xiafen Zhang;Yueting Zhuang
Affiliations:
College of Information Engineering, Shanghai Maritime University, Shanghai, PR China;College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, PR China
Venue:
Pattern Recognition Letters
Year:
2012

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Abstract

Historical Chinese calligraphy is now being scanned by ongoing project of Universal Digital Library to enable universal access. 483 Calligraphic page images are segmented into 13,351 individual characters, followed by character feature extraction. When an image query submits, a short list of candidates from the database is selected according to simple features of stroke transect. Then the selected candidates are ranked by shape matching using two-dimensional Dynamic Time Warping (DTW). After that, similar calligraphic characters are retrieved and ranked, then the query is recognized as the label of the most similar retrieved characters.