| 1. | Chinese character recognition based on parallel neural network
基于并行神经网络的汉字识别系统 |
| 2. | Requirements and test methods for identify system of printed chinese character
印刷体汉字识别系统要求与测试方法 |
| 3. | Inputting and abstracting in online chinese character recognition system
联机手写体汉字识别系统中汉字的输入及其特征的提取 |
| 4. | In this project , a new handwritten character recognition system has been designed successfully , which has 3 levels
本项目在汉字识别领域最新成果的基础上设计并开发了三级识别策略的汉字识别系统。 |
| 5. | 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。 |
| 6. | 4 . the humanoid chinese character recognition system . based on eight - shape code scheme and code - extraction algorithm , humanoid chinese character recognition system is presented
在汉字八形码编制及提取算法的基础上，提出了基于汉字八形码的仿人汉字识别系统。 |
| 7. | After analyzing the currently up - to - date techniques for chinese character recognition , in this paper , we propose a chinese character recognition system based on multi - algorithm integration and neural network
本文在分析当前汉字识别最新发展技术的基础上，提出了一种基于多算法集成和神经网络的汉字识别系统。 |
| 8. | The character collection of nust603hw , including the samples of nineteen capital chinese currency characters , make the design of the handwritten chinese character recognition system for special fields possible
字库nust603hw ，包含货币金额手写大写十九个汉字的样本，它的建立为进行专用领域手写体汉字识别系统的设计提供了可能。 |
| 9. | The main research content of this thesis include : the basic theory and method of character recognition , the pre - work of script image , the classification algorithm , the research of neutral network , and the system design of usual character recognition
本文的主要研究内容为：文字识别的原理和方法，汉字图像的预处理，汉字识别的分类算法，神经网络在汉字识别中的应用，常用汉字识别系统方案设计与开发。 |
| 10. | Some research on chinese character structure is done , and after some coding schemes of chinese character are summarized and trait of computer vision is considered , a new code - eight - shape code for chinese character is presented , which indicates chinese character structure trait and can be extracted automatically by computer from chinese character images
对汉字的构成进行了研究，在总结多种汉字编码方案优缺点的基础上，结合计算机视觉的特点，提出一种表征汉字特征的机器认知汉字八形码编制方法。 4 )仿人汉字识别系统。 |
