ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Segmentation of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition
IEICE - Transactions on Information and Systems
Recent results of online Japanese handwriting recognition and its applications
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Segmentation of on-line handwritten japanese text using SVM for improving text recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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This paper presents a formalization of an on-line writing-box free, line-direction free handwritten Japanese text recognition and its effect. By normalizing character orientation, even text of arbitrary character orientation can be recognized. The method evaluates the likelihood composed of character segmentation, character recognition, character pattern structure and context. The likelihood of character pattern structure considers the plausible height, width and gaps within a character pattern that appear in Chinese characters composed of multiple radicals (subpatterns). We show how the newly modeled factors in the likelihood affect the overall recognition rate.