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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
KES
2004
Springer
15 years 2 months ago
An Efficient Fuzzy Method for Handwritten Character Recognition
The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Du...
Romesh Ranawana, Vasile Palade, G. E. M. D. C. Ban...
70
Voted
PAMI
2002
143views more  PAMI 2002»
14 years 9 months ago
Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading
This paper describes a handwritten character string recognition system for Japanese mail address reading on very large vocabulary. The address phrases are recognized as a whole bec...
Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa
89
Voted
ICDAR
2011
IEEE
13 years 9 months ago
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane
—This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. We combine on-l...
Bilan Zhu, Jinfeng Gao, Masaki Nakagawa
TFS
2008
174views more  TFS 2008»
14 years 9 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu