A Segmentation Algorithm for Handwritten Chinese Character Strings

Authors:
Jiang Gao;Xiaoqing Ding;Youshou Wu
Affiliations:
-;-;-
Venue:
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Year:
1999

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Abstract

A new algorithm for segmenting handwritten Chinese character strings is presented. This approach is based on a split and merge strategy by locating possible ligatures between Chinese characters and merging the over-split components. The strategy is proposed by considering the structural properties of Chinese characters strings. To guarantee accuracy of the above segmentation algorithm, a recognizer is involved to aid the segmentation process. A maximum a posteriori probability index is derived for joint optimization of segmentation and recognition results, and a dynamic programming algorithm modified level building algorithm is used to optimize this index. The whole algorithm is applied to Chinese bank check amount recognition, and some promising experimental results are obtained.