[Keywords]：Handwtitten Chinese character recognition; Chinese character recognition model; Multi-character recognition.;
基于6个网页-相关网页
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
在手写汉字识别的研究中，鲜有研究者提出建立手写汉字的数学模型，本文在这方面作了一些探讨。
In the research of handwriting Chinese character recognition, no researcher raised a mathematical model of handwriting Chinese characters which is discussed in this paper.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
应用推荐