A Maximum-Likelihood Approach to Segmentation-Based Recognition of Unconstrained Handwriting Text
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
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
A robust approach to text line grouping in online handwritten Japanese documents
Pattern Recognition
Recent results of online Japanese handwriting recognition and its applications
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
IAMonDo-database: an online handwritten document database with non-uniform contents
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
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 describes an on-line handwritten Japanesetext recognition method that is liberated from constraintson writing direction (line direction) and characterorientation. This method estimates the line direction andcharacter orientation using the time sequenceinformation of pen-tip coordinates and employs writing-box-free recognition with context processing combined.The method can cope with a mixture of vertical,horizontal and skewed lines with arbitrary characterorientations. It is expected useful for tablet PC's,interactive electronic whiteboards and so on.