CASIA OpenIR  > 模式识别国家重点实验室  > 语音交互
Nonrigid Point Matching of Chinese Characters for Robot Writing
Bocheng Zhao; Minghao Yang; Hang Pan; Qingjie Zhu; Jianhua Tao
2017
Conference NameIEEE International Conference on Robotics and Biomimetics (ROBIO)
Source PublicationROBIO
Conference Date2017-12
Conference Place澳门
AbstractPoint matching is a key step in robot writinglearning process. There are three major challenges that weakened most of the existing point matching algorithms to match points for Chinese characters, including nonlinearly deformation, connected strokes and geometrically dispersive. We propose a novel algorithm based on constrained global energy function (CGE) in the matching process to cope with the abovementioned challenges in this paper. We utilized a global spatial distribution energy function (EF) to evaluate relationship among point sets. Then we could solve problems with point registration by minimizing the energy function. To evaluate the matching results of energy function, we defined a vector that describe local spatial information to optimize the algorithm presentation. In addition, to avoid divergence, we designed an operator based on sigmoid function, using literation numbers as inputs to constrain the vector. We have conducted experiments on an extensive human handwriting database, and our algorithm performed competitively against the state-of-the-art point matching algorithm in terms of accuracy and stability.
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19840
Collection模式识别国家重点实验室_语音交互
Recommended Citation
GB/T 7714
Bocheng Zhao,Minghao Yang,Hang Pan,et al. Nonrigid Point Matching of Chinese Characters for Robot Writing[C],2017.
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