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出 处:《数字技术与应用》2015年第12期118-119,共2页Digital Technology & Application
基 金:新疆维吾尔自治区自然科学基金项目(2012211B23)资助
摘 要:维吾尔语是以单词为基本单位的黏连语,字母因在单词中位置的不同而具有不同的书写变形,目前手写技术的发展仍然落后于汉语、英语等语种。本文在分析维吾尔语言文字的结构、构词特点和输入习惯等特征的基础上,总结了黏着性语言对手写输入识别的影响,主要探讨了实现维吾尔文手写识别系统的过程和相关关键技术,以期通过对这些技术的分析、验证,实现维吾尔文手写识别系统。Uygur language is an agglutinative language with words as its basic unit. Because of the different positions in the word, the letters have different writing deformation. At present, the development of handwriting technology is still lagging behind the Chinese and English languages. On the basis of analysis of the structure of Uygur language, characteristics of word formation and input habits, etc. this paper Summarizes the impact of agglutinative language on handwriting recognition, Mainly discusses the process of implementation of the Uygur handwriting recognition system and related key technologies, Hope that through the analysis and verification of these technologies, implementation of the Uygur handwriting recognition system.
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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