A Semantic Segmentation-based Method for Handwritten Japanese Text Recognition

2020 ◽  
Author(s):  
Kha Cong Nguyen ◽  
Cuong Tuan Nguyen ◽  
Masaki Nakagawa
Keyword(s):  
Japanese Text ◽  
Semantic Segmentation ◽  
Text Recognition

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

2016 ◽  
Vol E99.D (4) ◽  
pp. 1172-1181 ◽  
Author(s):  
Jianjuan LIANG ◽  
Bilan ZHU ◽  
Taro KUMAGAI ◽  
Masaki NAKAGAWA
Keyword(s):  
Japanese Text ◽  
Text Recognition ◽  
Segmentation Methods ◽  
Character Position ◽  
On Line

Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition

2014 ◽  
Vol 47 (5) ◽  
pp. 1904-1916 ◽  
Author(s):  
Xiang-Dong Zhou ◽  
Yan-Ming Zhang ◽  
Feng Tian ◽  
Hong-An Wang ◽  
Cheng-Lin Liu
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Japanese Text ◽  
Text Recognition ◽  
Minimum Risk

Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields

2013 ◽  
Vol 35 (10) ◽  
pp. 2413-2426 ◽  
Author(s):  
Xiang-Dong Zhou ◽  
Da-Han Wang ◽  
Feng Tian ◽  
Cheng-Lin Liu ◽  
M. Nakagawa
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Japanese Text ◽  
Text Recognition
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