Design of fuzzy number recognition based on embedded system platform  

基于嵌入式平台的数字模糊识别技术的实现(英文)

作　　者：戴明[1] 刘嘉华[1] 邓建明[1] 

机构地区：[1]东南大学软件学院,南京210096

出　　处：《Journal of Southeast University(English Edition)》2007年第2期232-235,共4页东南大学学报（英文版）

基　　金：Pre-Research Project of the National Natural Science Foundation of China supported by Southeast University ( NoXJ0605227)

摘　　要：A system of number recognition with a graphic user interface （GUI） is implemented on the embedded development platform by using the fuzzy pattern recognition method. An application interface （API） of uC/ OS-Ⅱ is used to implement the features of multi-task concurrency and the communications among tasks. Handwriting function is implemented by the improvement of the interface provided by the platform. Fuzzy pattern recognition technology based on fuzzy theory is used to analyze the input of handwriting. A primary system for testing is implemented. It can receive and analyze user inputs from both keyboard and touch-screen. The experimental results show that the embedded fuzzy recognition system which uses the technology which integrates two ways of fuzzy recognition can retain a high recognition rate and reduce hardware requirements.在嵌入式开发平台上实现具有图形用户界面(GUI)的模糊模式数字识别系统.使用嵌入式操作系统uCOSⅡ编程接口实现系统的多任务特性与任务间的通信;通过改进开发板附带的触摸屏接口函数实现手写输入;基于模糊数学的基本理论与方法,使用模糊模式识别技术分析手写输入的数据.在嵌入式开发平台上完成了一套实验性的支持手写输入的用户图形界面系统,该系统可以接受和处理用户通过键盘或者触摸屏输入的信息.实验结果表明,采用2种模糊识别技术相结合的嵌入式手写输入系统能在降低系统硬件配置的同时保持较高的识别率.

关 键 词：embedded system multi-task concurrency number recognition fuzzy position transformation 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]