摘要：

为实现原始凭证的自动电子化,提出一种基于图像特征的原始凭证自动分类方法,根据规则假设树的凭证版面分析,设计一个能应用于手机、pad等移动设备的原始凭证电子化智能填单系统。在网上报销时,只需对准原始凭证扫描移动设备,即可将凭证信息自动录入到财务信息化系统,不仅能消除因人力录入造成的时间、资源浪费,更保证原始凭证与网上报销流程中每笔业务的账实相符。实验结果表明,该方法的凭证分类正确率为88.38%,智能填单正确率为87.22%,平均每张凭证的处理时间为5.042 s,具有较高的经济价值和应用价值。

关键词: 原始凭证电子化, 特征提取, 规则搜索, 假设树, 决策树

Abstract:

In order to realize the automatic electronization for source document,this paper proposes an automatic source document classification method based on image features.Based on the document layout analysis of rule hypothesis tree,an intelligent document-filling system with source document electronization is designed,which can be applied to mobile phones,pads and other mobile devices.During online reimbursement,document information can be automatically input to the financial information system merely by scanning the source document with the mobile device.It can not only eliminate the waste of time and resources caused by human input,but also ensure that the source document and each business account during online reimbursement are consistent.Experimental results show that the document classification accuracy of this method is 88.38%.The accuracy of intelligent document-filling is 87.22%,and it takes 5.042 s to deal with a document on average.The proposed method has high economic value and application value.

Key words: source document electronization, feature extraction, rule search, hypothesis tree, decision tree

中图分类号: 

• TP391.41