摘要
论文将数字识别技术应用于银行票据自动识别勾兑业务系统,并利用多分类器融合方法获得了99.527%的单个数字字符识别率,在此基础上运用多区域多内容冗余校验方法保证了识别结果的充分可信赖性,经此处理后整张票据的识别通过率高达87.573%,其识别结果完全正确。
In this paper methods of multiple classifiers fusion are used in bank paper recognition system to increase single character's recognition rate.The result shows that single character recognition rate can reach to99.527%.Based on this high recognition rate,the authors recognize multiple regions and use their results as redundant information to verify recognized results.87.573%pass rate of papers whose recognized results are totally correct can be obtained.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第30期219-222,共4页
Computer Engineering and Applications
关键词
多分类器组合
银行票据识别
Multiple classifiers fusion,bank paper recognition
