Invoice information extraction method combined with two-dimensional code recognition

An information extraction and two-dimensional code technology, applied in the field of invoice information extraction, can solve the problems of two-dimensional code area defect, single recognition text recognition two-dimensional code, unable to locate and identify, etc., to ensure accuracy, high robustness, Accurate effect

Pending Publication Date: 2020-01-03
SHENZHEN HUAFU INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for extracting invoice information combined with two-dimensional code identification, so as to solve the problem that the existing invoice information extraction proposed in the above-mentioned background technology mainly adopts a single identification text or two-dimensional code is easy to appear: tw

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  • Invoice information extraction method combined with two-dimensional code recognition

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[0033] Examples:

[0034] 1. Bill text recognition:

[0035] This method first directly recognizes the invoice text. Take the ordinary invoice as an example. Generally, the text that needs to be recognized is the invoice code, invoice number, date, total amount, and check code. In terms of positioning, various text positioning methods can be used, including but not limited to traditional machine learning object positioning methods and deep learning object detection methods. In terms of text recognition algorithms, including but not limited to using traditional machine learning text recognition methods and deep learning text recognition methods.

[0036] Finally, we can get the attributes of each text, border coordinate information and specific character information.

[0037] 2. Bill QR code recognition

[0038] Since the invoice may be damaged or blocked by stains, it is not always possible to obtain accurate information only through text positioning and recognition. This method will ...

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Abstract

The invention belongs to the technical field of invoice information extraction, and particularly relates to an invoice information extraction method combining two-dimensional code recognition, which comprises the following steps: S1, carrying out bill text recognition; s2, carrying out bill two-dimensional code identification; and S3, selecting an identification result: after output information ofbill text identification and bill two-dimensional code identification is obtained, analyzing and accepting or rejecting the two groups of information, deriving an approximate position of a two-dimensional code according to a text identification result, and performing positioning identification on the two-dimensional code by using a deep learning technology. The two-dimensional code identificationrate is far higher than that of a traditional method. According to the method, text recognition and two-dimensional code recognition results are accepted or rejected according to the confidence coefficient, the recognition accuracy is further guaranteed, meanwhile, the text and the two-dimensional code are recognized, and when information of one party is defective, the result of the other party can supplement the final result advantageously. The method can adapt to more complex and changeable scenes, and has higher robustness.

Description

technical field [0001] The invention relates to the technical field of invoice information extraction, in particular to an invoice information extraction method combined with two-dimensional code identification. Background technique [0002] The information contained in the invoice image is very rich. In addition to the text information printed on the invoice, the QR code on the upper left corner of the invoice also encodes the main information of the invoice (such as invoice number, invoice code, amount, invoice date, etc.), how to effectively Extracting this information is the key to invoice identification technology. [0003] One of the existing methods is to only locate and analyze the QR code of the invoice, because the QR code already contains enough important information, as long as it is successfully decoded, the basic invoice information identification can be completed, but in actual application scenarios Invoices are often wrinkled and covered. Once the two-dimens...

Claims

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Application Information

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IPC IPC(8): G06K17/00G06K7/14G06N20/00
CPCG06K17/0025G06K7/146G06N20/00
Inventor 张欢李爱林张仕洋周先得
Owner SHENZHEN HUAFU INFORMATION TECH CO LTD
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