Template Matching-Based Method for Intelligent Invoice Information Identification
Template Matching-Based Method for Intelligent Invoice Information Identification
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DOI：
10.1109/access.2019.2901943
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发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Gui, Guan
中科院分区：
文献类型：
--
作者：
Sun, Yingyi;Mao, Xianfeng;Gui, Guan
发票使用的增加给金融部门的劳动力和物质资源造成了不必要的负担。提出一种基于模板匹配的发票信息智能识别方法，通过图像预处理、模板匹配、光学字符识别和信息导出来检索所需信息。首先对原始发票图像进行预处理，通过二次旋转和切边去除无用的背景信息。然后，通过模板匹配在获得的规则图像中提取所需信息的区域，这是智能发票信息识别的核心。利用光学字符识别将图像信息转换为文本，以便提取的信息可以直接使用。最后一步将文本信息导出以供备份和后续使用。实验结果表明，使用归一化相关系数匹配的方法是最佳选择，准确率高达95%，平均运行时间为14毫秒。
The increasing use of invoicing has created an unnecessary burden on labor and material resources in the financial sector. This paper proposes a method to intelligently identify invoice information based on template matching, which retrieves the required information by image preprocessing, template matching, an optical character recognizing, and information exporting. The origin invoice image is preprocessed first to remove the useless background information by secondary rotation and edge cutting. Then, the region of the required information in the obtained regular image is extracted by template matching, which is the core of the intelligent invoice information identification. The optical character recognizing is utilized to convert the image information into text so that the extracted information can be directly used. The text information is exported for backup and subsequent use in the last step. The experimental results indicate that the method using normalized correlation coefficient matching is the best choice, demonstrating a high accuracy of 95%, and the average running time of 14 milliseconds.