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ICMI
2000
Springer
217views Biometrics» more  ICMI 2000»
10 years 7 months ago
Offline Handwritten Chinese Character Recognition Using Optimal Sampling Features
For offline handwritten Chinese character recognition, stroke variation is the most difficult problem to be solved. A new method of optimal sampling features is proposed to compens...
Rui Zhang, Xiaoqing Ding
ISCI
2010
134views more  ISCI 2010»
10 years 2 months ago
Cascade Markov random fields for stroke extraction of Chinese characters
Extracting perceptually meaningful strokes plays an essential role in modeling structures of handwritten Chinese characters for accurate character recognition. This paper proposes...
Jia Zeng, Wei Feng, Lei Xie, Zhi-Qiang Liu
ICPR
2000
IEEE
10 years 8 months ago
Hidden Markov Random Field Based Approach for Off-Line Handwritten Chinese Character Recognition
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
Qing Wang, Rongchun Zhao, Zheru Chi, David Dagan F...
ICDAR
2009
IEEE
10 years 1 months ago
A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Chara
This paper presents a character-structure-guided approach to estimating possible orientations of a rotated isolated online handwritten Chinese character. Using the estimated orien...
Tingting He, Qiang Huo
ICDAR
2009
IEEE
10 years 11 months ago
Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...
Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao
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