发票校验码传输光及识别算法研究

Z. Jintao, Jianyi Kong, X. Wang, Wei Sun
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引用次数: 0

摘要

发票核对码是影响发票报销的关键因素之一,但部分发票核对码被红色印章覆盖,导致信息缺失。为了解决缺陷发票校验码的识别问题,本文研究了校验码区域的颜色分布以及颜色与光的相互作用,制定了发票单色光反向传输的方案。通过分析R、G、B三通道图像的灰度直方图,提出了一种发票图像的三通道加权灰度化方法。通过校验码的垂直水平投影定位区域后,通过双阈值分割实现校验码的二值化,并通过垂直投影获得单字符分割。最后,采用模板匹配方法进行字符识别。实验结果表明,该方法可以消除红色封条的影响,提高缺陷发票校验码识别的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Transmission Light and Recognition Algorithms of Invoice Check Code
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 threechannel 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.
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