| 1. | Handwritten character recognition based on bp neural network
神经网络的手写字符识别 |
| 2. | 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。 |
| 3. | 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。 |
| 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. | 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。 |
| 6. | Handwritten character recognition research is a branch of the area of optical character recognition ( ocr ) , which deals with the recognition of handwritten english character or digits using computer
手写字符识别是ocr的一个分支，它的研究对象是：如何利用电子计算机自动辨认手写的英文字符和阿拉伯数字。 |
| 7. | In this paper , we focus our attention on linear projection analysis and develop some new algorithms as regards it . and , these algorithms are verified to be effective in the application of face identification and handwritten character recognition
该文就有关线性投影分析的理论与算法进行了深入的研究，所提出的算法在人脸识别和手写体字符识别方面得到了较成功的应用。 |
| 8. | By this time , the rate of single handwritten character recognition , especially figure recognition , has reached 95 % . but to the sequential characters , or mathematic character recognition there is not a perfect product
到现在，单字符手写体识别，尤其是数字识别率接近95 ，但对于连续的字符书写，尤其是有数学符号的情况下，由于联机手写的随意性比较大，写作不规范，还没有一个成熟的产品。 |
| 9. | So , it is very important and necessary to study the technology of off - line handwritten character recognition . in this paper , we try to combine the neural network with pattern recognition technology and find a new solution of off - line handwritten character recognition
本文试图将神经网络技术与模式识别技术相结合，提出若干行之有效的手写体字符识别新方法，为解决手写体字符识别中所存在的困难找到切实可行的新途径。 |
| 10. | In view of the feature of neural network and its advantages in pattern recognition , we have a great deal work in off - line handwritten character recognition based on neural network . we present two recognition methods based on neural network . one of which is the hybrid neural network recognition system , a multi - level neural network classifier constructed by using the multi neural networks integration technology
由于神经网络的特点及其在手写体字符识别领域体现出的潜力，本文对基于神经网络的手写体字符识别技术进行了大量的研究工作，提出了两种新颖的基于神经网络的手写体字符识别模型，其中，基于混合神经网络的手写体字符识别模型利用了在抗干扰和描述字符拓扑结构方面具有互补性的中心投影特征和llf特征，使用多神经网络集成技术构建了多级的神经网络分类器。 |
