| 摘要: |
| 基于神经网络,采用Matlab 6.5和Visual C,设计一个字母识别系统。该系统通过对BMP图片的二值化处理,在VC环境下调用Matlab,并将把二值化后的数据进行网络训练,从而实现26个英文字母的识别。系统性能的测试表明,系统所训练的神经网络有很好的抗干扰能力。 |
| 关键词: 字母 模式识别 神经网络 Matlab Visual C |
| DOI： |
| 投稿时间：2005-06-22 |
| 基金项目: |
|
| Design and Implemen of Letter Recognition System Based on Neural Network |
|
He Jie
|
| (Dept. of Comp. Sci., Guangxi Univ. Wuzhou Branch, Wuzhou, Guangxi, 543002, China) |
| Abstract: |
| A letter recognition system based on neural network is developed by using Matlab 6.5 and Visual C.In this system,the BMP image is binarized.The binarized data are used in the neural network for the recognition of 26 letters.The system test reveals that the neural network has a good anti-jamming. |
| Key words: letter pattern recognition neural network Matlab Visual C |
