基于Tesseract-OCR文本识别的检票系统研究  被引量:3

Research on Ticket Checking System Based on Tesseract-OCR Text Recognition

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作  者:聂霜霜 杨轶男 卫晶 马建钟 NIE Shuangshuang;YANG Yinan;WEI Jing;MA Jianzhong(School of Information Technology and Engineering Tianjin University of Technology and Education,Tianjin 300222,China)

机构地区:[1]天津职业技术师范大学信息技术工程学院,天津300222

出  处:《现代信息科技》2022年第5期1-4,10,共5页Modern Information Technology

基  金:天津市级大学生创新创业训练计划项目资助(202110066049)。

摘  要:通过对已有手写字符识别相关技术和应用实例进行研究,发现Tesseract文本识别方法具有经济、可训练、识别准确等优点,设计了基于Tesseract文本识别的特殊手写字符检票系统。此系统结合数字图像处理技术,以谷歌开源OCR引擎Tesseract的字符识别技术为核心,并通过训练字库实现对多种选民手写选票的准确识别。测试结果表明,该系统具有实时性、交互性、高可靠性等特点,为纸质选票的传统人工唱票计票方式提供了智能解决方案。According to the research of related technologies and application examples of existing handwritten character recognition,it is found that Tesseract text recognition method has the advantages of economy,trainable and accurate recognition and so on,and a special handwritten character ticket checking system based on Tesseract text recognition is designed.This system combines digital image processing technology,with the character recognition technology of Google open source OCR engine Tesseract as the core,and realizes the accurate recognition of multiple voters’handwritten ballots through the training word library.The testing results show that the system has the characteristics of real-time,interaction and high reliability and so on,which provides an intelligent solution for the traditional manual vote counting method of paper ballots.

关 键 词:手写字符识别 选票识别系统 图像处理 Tesseract-OCR 

分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]

 

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