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基于嵌入式平台的手写汉字识别系统的设计
作者单位:同济大学软件学院
摘    要:随着移动技术与相关技术的迅速发展,手机、个人掌上电脑(PDA)、笔记本电脑等各种电子设备变得流行,它们已成为人们工作和娱乐必不可少的随身用品。对于各种移动电子设备在中国的推广使用,汉字输入是一个必须考虑的问题。传统的输入方式大多使用键盘,不论是笔记本电脑使用的标准键盘,还是各手机厂商设计的简化键盘,都是使用键盘采集信息,然后通过汉语拼音或者笔画输入等方式完成汉字输入。对于嵌入式小型设备来说,原有键盘设计引起占用空间大和输入汉字效率低等诸多问题。如何解决这些问题,同时保证设备足够的显示空间,又不添加新的复杂硬件设备。一种叫做触摸屏手写汉字输入的技术越来越受到人们的推崇。以Windows CE 5.0为运行平台,Embedded Visual C 4.0,为开发环境,设计和实现了一套屏幕手写识别系统,不仅能对现有汉字进行有效识别,用户还可以根据需要自行对字库扩展,有助于提高汉字的识别率。

关 键 词:手写汉字识别  触摸屏  字库  嵌入式系统

Design and Implementation of Handwritten Character Recognition System Based on the Embedded System
OUYANG Ming,HE Zong-jian. Design and Implementation of Handwritten Character Recognition System Based on the Embedded System[J]. Digital Community & Smart Home, 2008, 0(28)
Authors:OUYANG Ming  HE Zong-jian
Abstract:With rapid development of mobile and related technology.Mobile Phone,Personal Digital Assistant (PDA),notebook PC and other embedded devices become popular,they have been necessity of life and entertainment.As different kinds of mobile electronic devices are promoted in China market,inputting Chinese character should be taken seriously.Traditional input method depends on keyboard; both standardized keyboard on notebook PC and simplified keyboard manufactured by cell factories collect information,and then finish to type Chinese character using Chinese pinyin and strokes.For small embedded device,original keyboard design will give rise to large space occupied and low efficiency of input Chinese character.How to solve these problems,while ensuring adequate equipment display space,without adding new hardware complexity of the case,a technology called touch-screen hand-written character recognition is increasingly respected by people.This paper will introduce design and implementation of hand-written character recognition system based on Windows CE 5.0 as platform and Embedded VC 4.0 as develop environment.It not only recognizes the existing characters efficiently,can also be expanded by custom.This design is helpful to improve the Chinese character recognition rate.
Keywords:Hand-written character recognition  intelligent instrument  Embedded System
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