基于Java技术的泰语脱机手写模式识别研究  

Research on Thai handwritten pattern recognition based on Java technology

作　　者：文竹[1] 

机构地区：[1]广西国际商务职业技术学院,广西南宁530007

出　　处：《无线互联科技》2017年第21期115-117,共3页Wireless Internet Technology

摘　　要：近年来无纸化办公的应用需求越来越多,人们开始将过去重要的手写资料以各种方式保存在计算机中。然而常见的拍照扫描等方式只能以图片存储,更多时候人们需要的是ASCII码。如果人工录入,则会耗费庞大的人力和物力。为了解决这些问题,需要研究能将手写体转换为电子文档的脱机手写识别系统,实现手写体文字的自动识别。文章通过分析脱机手写识别的国内外研究现状,探讨了泰语脱机手写模式识别的意义,并提出了实现泰语脱机手写模式识别系统的技术路线与实施方案,以期加强中泰的经贸往来,提高两国旅游服务等行业的工作效率,助推中国"一带一路"发展战略。In recent years, there is an increasing demand for paperless office applications, and people have begun to store important handwritten information in computers in a variety of ways. However, common scanning methods such as pictures can only be stored as pictures, more often people need ASCII code. If you manually enter, it will spend a huge amount of manpower and material resources. In order to solve these problems, it is necessary to study offline handwriting recognition system that can convert handwriting to electronic document, and realize automatic recognition of handwritten text. By analyzing the current research situation of offline handwriting recognition at home and abroad, this article discusses the meaning of Thai offline handwriting pattern recognition and puts forward the technical route and implementation plan of Thai offline handwriting pattern recognition system in order to strengthen Sino-Thai economic and trade exchanges, improve the efficiency of tourism and other industries in the two countries and boost China＇s development strategy of ＂One Belt, One Road＂.

关 键 词：模式识别 脱机手写 神经网络 算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]