IEEE - Institute of Electrical and Electronics Engineers, Inc. - Template Matching-Based Method for Intelligent Invoice Information Identification.
|Author(s):||Yingyi Sun ; Xianfeng Mao ; Sheng Hong ; Wenhua Xu ; Guan Gui|
|Publisher:||IEEE - Institute of Electrical and Electronics Engineers, Inc.|
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... View More
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, optical character recognizing, and information exporting. The origin invoice image is preprocessed firstly 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. 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 average running time of 14 milliseconds.View Less