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Digital Ink Search Based on Character-Recognition Candidates Compared with Feature-Matching-Based Approach.

, , and . IEICE Trans. Inf. Syst., 96-D (3): 681-689 (2013)

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Idea Memo PDA in Scalable Handwriting Interfaces., , and . HCI (2), page 455-458. Elsevier, (1997)Enhancing Handwriting Interfaces.. HCI (2), page 451-454. Elsevier, (1997)Building a compact online MRF recognizer for large character set by structured dictionary representation and vector quantization technique., and . Pattern Recognit., 47 (3): 982-993 (2014)Robust and real-time stroke order evaluation using incremental stroke context for learners to write Kanji characters correctly., , , and . Pattern Recognit. Lett., (2019)Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two Segmentation Methods., , , and . IEICE Trans. Inf. Syst., 99-D (4): 1172-1181 (2016)Digital Ink Search Based on Character-Recognition Candidates Compared with Feature-Matching-Based Approach., , and . IEICE Trans. Inf. Syst., 96-D (3): 681-689 (2013)Special Section on Knowledge, Information and Creativity Support System., and . IEICE Trans. Inf. Syst., 91-D (11): 2543-2544 (2008)A Nom historical document recognition system for digital archiving., , and . Int. J. Document Anal. Recognit., 19 (1): 49-64 (2016)Handwriting Recognition and Automatic Scoring for Descriptive Answers in Japanese Language Tests., , , , and . ICFHR, volume 13639 of Lecture Notes in Computer Science, page 274-284. Springer, (2022)A Segmentation Method of Single- and Multiple-Touching Characters in Offline Handwritten Japanese Text Recognition., , and . IEICE Trans. Inf. Syst., 100-D (12): 2962-2972 (2017)