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» A Model of Stroke Extraction from Chinese Character Images
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ICPR
2000
IEEE
14 years 5 months ago
A Model of Stroke Extraction from Chinese Character Images
Given the large number and complexity of Chinese characters, pattern matching based on structural decomposition and analysis is believed to be necessary and essential to off-line ...
Ruini Cao, Chew Lim Tan
ICPR
2000
IEEE
13 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...
ICCV
2003
IEEE
14 years 6 months ago
Dynamic Stroke Information Analysis for Video-Based Handwritten Chinese Character Recognition
Video-based handwritten Character Recognition (VCR) system is a new type of character recognition system with many unique advantages over on-line character recognition system. Its...
Feng Lin, Xiaoou Tang
ISCI
2010
134views more  ISCI 2010»
13 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
ICDAR
2005
IEEE
13 years 10 months ago
A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming
In this paper, an online handwritten Chinese character segmentation method is proposed. It is based on a dynamic programming algorithm, which uses geometrical features extracted f...
Xue Gao, Pierre Michel Lallican, Christian Viard-G...