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ICDAR
2011
IEEE
13 years 9 months ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
ICPR
2004
IEEE
15 years 10 months ago
Applying A Hybrid Method To Handwritten Character Recognition
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
Chin-Chin Lin, Chun-Jen Chen, Fu Chang
ICDAR
2009
IEEE
14 years 7 months ago
A Novel Approach for Rotation Free Online Handwritten Chinese Character Recognition
This paper presents a method for rotation free online handwritten Chinese character recognition (RFOHCCR). Given a skew online handwritten character sample, two orientation correc...
Shengming Huang, Lianwen Jin, Jin Lv
75
Voted
SAC
2006
ACM
15 years 3 months ago
An implicit segmentation-based method for recognition of handwritten strings of characters
This paper describes an implicit segmentation-based method for recognition of strings of characters (words or numerals). In a two-stage HMM-based method, an implicit segmentation ...
Paulo Rodrigo Cavalin, Alceu de Souza Britto Jr., ...
ICDAR
2007
IEEE
15 years 3 months ago
Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
D. Yang, L. Jin