Research on Transmission Light and Recognition Algorithms of Invoice Check Code

Jintao Zhang, Jianyi Kong, Xingdong Wang, Wei Sun

2019

Abstract

Invoice checking code is one of the key factors affecting invoice reimbursement, but some invoice checking codes are covered by red seal, resulting in lack of information. In order to solve the identification problem of defect invoice check code, in this paper, the color distribution in the check code region and the interaction between color and light are studied, and the scheme of invoice monochrome light reverse transmission is formulated. By analyzing the gray histogram of R, G and B three-channel images, a three-channel weighted graying method for invoice images is proposed. After locating the region by vertical horizontal projection of the check codes, the binarization of the check codes is realized by double threshold segmentation, and the single character segmentation is obtained by vertical projection. Finally, character recognition is carried out by template matching method. The experimental results show that the above method can eliminate the influence of red seals and improve the accuracy of the identification of check codes for defective invoices.

Paper Citation

in Harvard Style

Zhang J., Kong J., Wang X. and Sun W. (2019). Research on Transmission Light and Recognition Algorithms of Invoice Check Code.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 435-443. DOI: 10.5220/0008869804350443

in Bibtex Style

@conference{icvmee19,
author={Jintao Zhang and Jianyi Kong and Xingdong Wang and Wei Sun},
title={Research on Transmission Light and Recognition Algorithms of Invoice Check Code},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={435-443},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008869804350443},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Research on Transmission Light and Recognition Algorithms of Invoice Check Code
SN - 978-989-758-412-1
AU - Zhang J.
AU - Kong J.
AU - Wang X.
AU - Sun W.
PY - 2019
SP - 435
EP - 443
DO - 10.5220/0008869804350443