| 1. | Handwritten character recognition based on bp neural network
神经网络的手写字符识别 |
| 2. | Secondly , we use the hmm neural network to recognize on - line handwritten character
概率神经网络用于联机手写字符的识别。 |
| 3. | The key of off - line handwritten character recognition are feature extract and classifier design
脱机手写体字符识别的重点与难点在于字符的特征提取与分类器的设计。 |
| 4. | It is the key to solve the problems such as face identification and handwritten character recognition
无论是人脸识别还是字符识别，抽取有效的鉴别特征是解决问题的关键。 |
| 5. | Not only have handwritten characters become more clumsy - looking , but there are even many wrong or miswritten characters in a given essay
不但写的字变得比较难看，甚至一篇文章里会有许多错字。 |
| 6. | 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。 |
| 7. | But the results have shown that the hmm neural network can work successfully on the recognition of handwritten characters
但是我们的试验结果表明，概率神经网络可以成功的用于联机手写字符的识别问题。 |
| 8. | That is the task of handwritten character recognition . but the problem is too large and difficult to be solved all
手写体汉字的识别是尚未攻克的难题，相关的资料有限，在短期内试图完全解决这一难题是不大可能的。 |
| 9. | And handwritten characters vary not only in writers but also in fort and size , so how to solve these issues becomes the focus of research
再加上手书体文字的书写更是因人而异、形态变化巨大,因此,如何解决这些问题已成为研究的热点。 |
| 10. | The research object of this system are constrained handwritten characters ( including 10 arabic numerals , 26 capital english letters and 26 small english letters , 62 characters aggregately )
本系统的研究对象为限制性手写体字符(包括10个阿拉伯数字和52个英文字母的大小写，共62个字符) 。 |
