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» A Self-Learning System For The Chinese Characters
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ICMI
2000
Springer
186views Biometrics» more  ICMI 2000»
13 years 8 months ago
Off-Line Handwritten Chinese Character Recognition with Nonlinear Pre-classification
- In this paper, we describe a new Chinese character recognition system, in which neural networks are employed as a nonlinear pre-classifier to pre-classify similar Chinese charact...
Lixin Zhen, Ruiwei Dai
ICDAR
2011
IEEE
12 years 4 months ago
Chinese Chess Character Recognition with Radial Harmonic Fourier Moments
—Radial harmonic Fourier moments (RHFMs) are invariant to translation, rotation, scaling and intensity, which own excellent image description ability, noise-resistant power, and ...
Kejia Wang, Honggang Zhang, Ziliang Ping, Haiying
ICPR
2008
IEEE
14 years 6 months ago
Hybrid statistical-structural on-line Chinese character recognition with fuzzy inference system
In this paper, we propose an original hybrid statistical-structural method for on-line Chinese character recognition. We model characters thanks to fuzzy inference rules combining...
Éric Anquetil, Adrien Delaye, Sébast...
ACL
2012
11 years 7 months ago
Enhancing Statistical Machine Translation with Character Alignment
The dominant practice of statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in buil...
Ning Xi, Guangchao Tang, Xinyu Dai, Shujian Huang,...
ICDAR
2009
IEEE
13 years 2 months ago
Design Compact Recognizers of Handwritten Chinese Characters Using Precision Constrained Gaussian Models, Minimum Classification
In our previous work, a precision constrained Gaussian model (PCGM) was proposed for character modeling to design compact recognizers of handwritten Chinese characters. A maximum ...
Yongqiang Wang, Qiang Huo