| 基于人工神经网络自适应共振理论的手写字符识别 |
| |
| 引用本文： | 韩可轶,周德俭,张烈平,谢晓兰. 基于人工神经网络自适应共振理论的手写字符识别[J]. 桂林工学院学报, 2006, 26(1): 122-124 |
| |
| 作者姓名： | 韩可轶 周德俭 张烈平 谢晓兰 |
| |
| 作者单位： | 桂林工学院,电子与计算机系,广西,桂林,541004 |
| |
| 基金项目： | 广西教育厅项目（桂教科研[2004]20） |
| |
| 摘 要： | 以人工神经网络中的自适应共振理论为基础,研究了用光标在电脑屏幕上进行手写输入的字符识别方法.根据专业领域文字输入中经常使用特殊字符的特点,程序部分由内核是Unicode的Java实现.采用Unicode编码不但可以方便地实现特殊字符的识别和显示,还有利于跨平台的移植,较好地解决了文字录入中特殊字符不易查找以及某些用户操作键盘不便等实际问题.
|
| 关 键 词： | 手写字符识别 人工神经网络 自适应共振理论 Java语言 |
| 文章编号： | 1006-544X(2006)01-0122-03 |
| 收稿时间： | 2005-03-10 |
| 修稿时间： | 2005-03-10 |
Handwritten character recognition based on adaptive resonance theory of artificial neural network |
| |
| HAN Ke-yi,ZHOU De-jian,ZHANG Lie-ping,XIE Xiao-lan. Handwritten character recognition based on adaptive resonance theory of artificial neural network[J]. Journal of Guilin University of Technology, 2006, 26(1): 122-124 |
| |
| Authors: | HAN Ke-yi ZHOU De-jian ZHANG Lie-ping XIE Xiao-lan |
| |
| Affiliation: | Department of Electronics and Computer Science, Guilin University of Technology, Guilin 541004, China |
| |
| Abstract: | Based on the artificial neural network(ART),the recognition of handwritten characters inputting at the computer screen with the cursor is developed.As some special characters are often input in professional field,the program is realized in Java in which Kernel Unicode.Adoption of Unicode code can not only realize the recognition and the display of character conveniently,but also benefit transplanting in different system.It will be better to solve some problems of characters inputting,such as special characters that are difficult to find out and some users operate keyboard inconveniently. |
| |
| Keywords: | handwritten character recognition artificial neural network adaptive resonance theory(ART) Java language |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
