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Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two Segmentation Methods.

, , , and . IEICE Trans. Inf. Syst., 99-D (4): 1172-1181 (2016)

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Recent Results of Online Japanese Handwriting Recognition and Its Applications., , , , , and . SACH, volume 4768 of Lecture Notes in Computer Science, page 170-195. Springer, (2006)Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two Segmentation Methods., , , and . IEICE Trans. Inf. Syst., 99-D (4): 1172-1181 (2016)A Semi-incremental Recognition Method for On-Line Handwritten English Text., , and . ICFHR, page 234-239. IEEE Computer Society, (2014)Character-position-free on-line handwritten Japanese text recognition., , , and . ACPR, page 231-235. IEEE, (2015)An intelligent meeting recording system for BoBi secretary robot., , and . ICARM, page 397-401. IEEE, (2017)Collecting Handwritten Nom Character Patterns from Historical Document Pages., , and . Document Analysis Systems, page 344-348. IEEE Computer Society, (2012)A Formalization of On-line Handwritten Japanese Text Recognition free from Line Direction Constraint., , and . ICPR (2), page 359-362. IEEE Computer Society, (2004)Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japanese Text Recognition., , and . ICDAR, page 594-598. IEEE Computer Society, (2011)Effects of Line Densities on Nonlinear Normalization for Online Handwritten Japanese Character Recognition., , , and . ICDAR, page 834-838. IEEE Computer Society, (2011)Improvements in Keyword Search Japanese Characters within Handwritten Digital Ink., , , and . ICDAR, page 863-866. IEEE Computer Society, (2009)