A robust model for on-line handwritten Japanese text recognition B Zhu, XD Zhou, CL Liu, M Nakagawa International Journal on Document Analysis and Recognition (IJDAR) 13, 121-131, 2010 | 93 | 2010 |
A model of on-line handwritten Japanese text recognition free from line direction and writing format constraints M Nakagawa, B Zhu, M Onuma IEICE transactions on information and systems 88 (8), 1815-1822, 2005 | 57 | 2005 |
Mechanical properties of high-strength Cu–Cr–Zr alloy fabricated by selective laser melting F Sun, P Liu, X Chen, H Zhou, P Guan, B Zhu Materials 13 (21), 5028, 2020 | 38 | 2020 |
Objective function design for MCE-based combination of on-line and off-line character recognizers for on-line handwritten Japanese text recognition B Zhu, JF Gao, M Nakagawa 2011 International Conference on Document Analysis and Recognition, 594-598, 2011 | 37 | 2011 |
On-line handwritten Japanese characters recognition using a MRF model with parameter optimization by CRF B Zhu, M Nakagawa 2011 International Conference on Document Analysis and Recognition, 603-607, 2011 | 36 | 2011 |
Development of Nom character segmentation for collecting patterns from historical document pages T Van Phan, B Zhu, M Nakagawa Proceedings of the 2011 Workshop on Historical Document Imaging and …, 2011 | 31 | 2011 |
A compact on-line and off-line combined recognizer H Oda, B Zhu, J Tokuno, M Onuma, A Kitadai, M Nakagawa Tenth International Workshop on Frontiers in Handwriting Recognition, 2006 | 30 | 2006 |
Segmentation of on-line freely written Japanese text using SVM for improving text recognition B Zhu, M Nakagawa IEICE transactions on information and systems 91 (1), 105-113, 2008 | 28 | 2008 |
Training of an on-line handwritten Japanese character recognizer by artificial patterns B Chen, B Zhu, M Nakagawa Pattern Recognition Letters 35, 178-185, 2014 | 25 | 2014 |
Segmentation based online word recognition: A conditional random field driven beam search strategy A Shivram, B Zhu, S Setlur, M Nakagawa, V Govindaraju 2013 12th International Conference on Document Analysis and Recognition, 852-856, 2013 | 18 | 2013 |
A MRF model with parameter optimization by CRF for on-line recognition of handwritten Japanese characters B Zhu, M Nakagawa Document Recognition and Retrieval XVIII (DRR) that is part of IS&T/SPIE …, 2011 | 18 | 2011 |
Collecting handwritten nom character patterns from historical document pages T Van Phan, B Zhu, M Nakagawa 2012 10th IAPR International Workshop on Document Analysis Systems, 344-348, 2012 | 16 | 2012 |
Effects of line densities on nonlinear normalization for online handwritten Japanese character recognition T Van Phan, JF Gao, B Zhu, M Nakagawa 2011 International Conference on Document Analysis and Recognition, 834-838, 2011 | 16 | 2011 |
Effect of Text/Non-text Classification for Ink Search Employing String Recognition T Matsushita, C Cheng, Y Murata, B Zhu, M Nakagawa 2012 10th IAPR International Workshop on Document Analysis Systems, 230-234, 2012 | 15 | 2012 |
A robust method for coarse classifier construction from a large number of basic recognizers for on-line handwritten Chinese/Japanese character recognition B Zhu, M Nakagawa Pattern recognition 47 (2), 685-693, 2014 | 14 | 2014 |
A formalization of on-line handwritten Japanese text recognition free from line direction constraint M Nakagawa, B Zhu, M Onuma Proc. 17th Int’l Conf. on Pattern Recognition (ICPR) 2, 359-362, 2004 | 14 | 2004 |
A semi incremental recognition method for on line handwritten English text CT Nguyen, B Zhu, M Nakagawa 14th Int’l Conf. on Frontiers in Handwriting Recognition (ICFHR2014), 234-239, 2014 | 13 | 2014 |
Development of a robust and compact on-line handwritten Japanese text recognizer for hand-held devices J Gao, B Zhu, M Nakagawa IEICE TRANSACTIONS on Information and Systems 96 (4), 927-938, 2013 | 13 | 2013 |
Online Handwritten Chinese/Japanese Character Recognition B Zhu, M Nakagawa InTech, 2012 | 13 | 2012 |
Improvements in Keyword Search Japanese Characters within Handwritten Digital Ink. C Cheng, B Zhu, X Chen, M Nakagawa Document Analysis and Recognition (ICDAR), 2009 International Conference on …, 2009 | 13 | 2009 |