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http://dx.doi.org/10.6109/jkiice.2021.25.4.523

Recognition of Bill Form using Feature Pyramid Network  

Kim, Dae-Jin (Institute for Image & Cultural Contents, Dongguk University)
Hwang, Chi-Gon (Dept. of Computer Engineering, IIT, Kwangwoon University)
Yoon, Chang-Pyo (Dept. Of Computer & Mobile Convergence, GyeongGi University of Science and Technology)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.4, 2021 , pp. 523-529 More about this Journal
Abstract
In the era of the Fourth Industrial Revolution, technological changes are being applied in various fields. Automation digitization and data management are also in the field of bills. There are more than tens of thousands of forms of bills circulating in society and bill recognition is essential for automation, digitization and data management. Currently in order to manage various bills, OCR technology is used for character recognition. In this time, we can increase the accuracy, when firstly recognize the form of the bill and secondly recognize bills. In this paper, a logo that can be used as an index to classify the form of the bill was recognized as an object. At this time, since the size of the logo is smaller than that of the entire bill, FPN was used for Small Object Detection among deep learning technologies. As a result, it was possible to reduce resource waste and increase the accuracy of OCR recognition through the proposed algorithm.
Keywords
Bill form; Feature pyramid network(FPN); Small object detection; Deep learning; Optical character recognition(OCR);
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