small set handwritten chinese character recognition based on integration rbf neural network;
构建一种基于反馈结构的手写体汉字识别系统。
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.
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。
stroke deformation is an important factor to effect the performance of the handwritten chinese character recognition system.
手写体汉字书写变形是手写体汉字识别预处理阶段的重要问题之一。
off-line handwritten chinese character recognition research has important meaning to chinese character information processing automation and new generation computer's intelligent input .
脱机手写体汉字识别研究对汉字信息处理自动化,对开拓新一代计算机的智能输入有重要意义。
the proposed off-line handwritten chinese character recognition system was composed of a feature extraction module and a recognition module.
提出的脱机手写体汉字识别系统主要研究特征提取和分类识别两个模块。
practice in handwritten numeral recognition and off line handwritten chinese character recognition strongly supports the ideas and the methods.
手写数字识别和脱机手写汉字识别的实际应用验证了所提的理论和方法。
handwritten chinese character recognition has become a research hotspot in the field of artificial intelligence and pattern recognition because of its wide range of application prospects.
手写体汉字识别的研究因其广泛的应用前景,已成为人工智能与模式识别领域中的一个研究热点。
adopting the technology presented in this thesis, excellent classifying effect had achieved in handwritten chinese character recognition aspect of the system.
该系统在手写汉字识别方面,采用本文所述方法取得了良好的实际效果。
the experiments of handwritten chinese character recognition show the effectiveness of the proposed approach.
手写体汉字的识别试验验证了所给方法的有效性。
on analysis of online and offline handwritten chinese character recognition system, a video-based online handwritten chinese character recognition method is proposed.
在分析传统联机与脱机手写汉字识别系统基础上,本文提出了一种基于运动图像的在线手写汉字识别新方法。
these strategies are experimentally tested on online handwritten chinese character recognition system and their effectiveness is considered.
这些融合策略经联机手写体汉字识别系统测试,系统性能有了较大提高。
off-line handwritten chinese character recognition is the most difficult problem in character recognition.
脱机手写体汉字识别是汉字识别领域中最难的课题。
in order to construct an unconstrained online handwritten chinese character recognition system, it is necessary to develop the rotation-invariant online character recognition technology.
为了构建一个更自由无约束的联机手写输入识别系统,旋转无关汉字识别技术的发展极其重要。