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- The humanoid Chinese character recognition system. 4) 仿人汉字识别系统。
- Accuracy of segmenting Chinese characters, especially touching characters, is essential for performance of a Chinese characters recognition system. 汉字切分正确与否直接影响了汉字识别系统的识别率 ,粘连汉字则是切分中的难点。
- Extracting the features of Chinese characters is the most important work inthe whole handwritten Chinese character recognition system. 在手写体汉字识别的研究中，汉字的特征提取可以说是整个手写体汉字识别系统中最重要的一部分。
- A well-equipped sample collection for written Chinese characters is one of the essential factors of commencing the research on handwritten Chinese character recognition. 本文的主要研究内容为:脱机手写体汉字识别的原理与方法,汉字图像预处理,手写体汉字的分类识别,神经网络在汉字识别中的应用,常用脱机手写体汉字识别系统方案设计。
- In the research of handwriting Chinese character recognition, no researcher raised a mathematical model of handwriting Chinese characters which is discussed in this paper. 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。
- The character recognition threshold or acuity of Chinese characters was measured and compared with English letters and optotype E,by the method of constant stimuli. 本研究采用恒定刺激法测量汉字的大小辨认阈限(视锐),并与英文字母和视标E进行比较。
- Abstract The character recognition threshold or acuity of Chinese characters was measured and compared with English letters and optotype E, by the method of constant stimuli. 摘要 本研究采用恒定刺激法测量汉字的大小辨认阈限(视锐)，并与英文字母和视标E 进行比较。
- This paper introduces 2-D EAG method for hand printed Chinese character recognition. 本文介绍手写印刷体汉字识别方法2-D EAG。
- An on line Chinese character recognition system is built up based on the aforementioned principle. 基于上述方法，作者实现了一个联机手写汉字识别系统。
- A handprinted Chinese character recognition method based on artificial neural network is presented in this paper. 本文提出了一种基于人工神经网络解决手写印刷体汉字识别的方法。
- Chinese character recognition plays a very important role in the automation of document analysis. 随着汉字识别的应用越来越普遍，应用系统中对汉字识别的速度和正确率的要求也越来越高。
- Hence, improve the correct rate of off-line handwritten Chinese character recognition. 从而进一步提高了脱机手写汉字识别的正确率。
- The results of primitive multi-font printed Chinese character recognition experiment are given. 并就其工作过程和主要特点作了较详细的叙述,还列出了多体印刷体汉字识别的初步试验结果。
- Feature extraction is the difficulty of handwritten chinese character recognition. 特征提取是手写体汉字识别的一个研究难点。
- Feature extraction is the key part of handwritten chinese character recognition. 特征提取是手写体汉字识别的关键环节。
- The latest progress of Chinese character recognition and the research prospect is presented in the last of this paper. 文章最后介绍了汉字识别的最新进展，并对其研究方向做了展望。
- C # programming on the 30 small example. Including matrix multiplication, Chinese character recognition, and array. 关于C%23编程的30个小例子。包括矩阵相乘、汉字识别、数组等。
- The directional feature is considered suitable for handwriten chinese character recognition, and it has been widely used as one of the main feature extraction method. 摘要网格方向特征在手写体汉字识别系统中得到广泛应用，被认为是目前较成熟的手写体汉字特征之一。
- In this paper,a approach of the handwritten Chinese character recognition,called the Natural structural analytical approach, is proposed. 本文从汉字的自然层次结构出发,提出了手写汉字识别的自然结构分析法。
- 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。
