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- handwritten Chinese eharacters 手写汉字
- This algorithm is especially suitable for the thinning of handwritten Chinese characters, letters of English alphabet and Arabic numerals. 这个算法特别适合于手写体汉字、英文字母和阿拉伯数目字的细化。
- 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。
- 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。
- AUTOMATIC RECOGNITION OF HANDWRITTEN CHINESE TEXT BASED ON LINGUISTIC KNOWLEDGE?? 基于语言知识的手写汉语文本自动识别初探
- The segmentation of handwritten Chinese amount strings has direct influence of the accurate rate of the recognition. 摘要手写体大写金额串的分割将直接影响识别的准确率。
- 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。
- 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。
- I studied the handwritten Chinese character recognition techniques based on adaptive information fusion and module neural networks. 研究了基于自适应特征融合及模块神经网络的手写体汉字识别。
- According to the feature extraction of the handwritten Chinese character recognition, an improved extracting stroke plane method was proposed. 摘要针对手写体汉字识别过程中的特征抽取,提出了一种改进的抽取笔画平面的方法。
- The CHASRE/30 software has been developed for recognizing the printed, typewritten and handwritten Chinese characters automatically. 30软件是为印刷体、打字体和手写体汉字的自动识别而研制的。
- An improvement to the algorithm for extracting fork points from skeleton images of handwritten Chinese characters is proposed. 提出了一种从手写体汉字骨骼图像上提取分叉点的改进算法。
- 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。
- This paper proposes a new method to locate the DAB on handwritten Chinese envelopes, using the obvious characteristics of handwritten Chinese envelopes. 为准确地定位出目的地址块,针对中文手写信封具有的明显特点,提出了一种用于中文手写信封的目的地址块定位方法。
- Handwritten Chinese character in SCUT-IRAC HCCLIB were tested, and this method can simplify the recognition process, as well as has a high recognition rate. 对SCUT-IRAC手写体汉字库中汉字进行了实验仿真,该方法大大降低了脱机手写体汉字识别的难度,有较高的汉字识别率。
- 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。
- Chinese character segmentation is one of the most difficult problems of unconstrained handwritten Chinese character recognition. The correctness of segmentation is crucial to recognition results. 汉字切分是手写体汉字识别预处理中的一个难点,切分的正确与否直接关系到汉字识别的准确度。
- This achievement of thesis has significant meaning to the automation of information and popularization of national economic information network, and has very high reference value to the research of handwritten Chinese character recognition. 本论文成果对于信息的自动化、国民经济信息网络的推广具有重要意义,对于手写汉字识别的研究具有很高的参考价值。