Deep learning-based invoice information management method, system and readable medium

A deep learning and information management technology, applied in the field of invoice information collection and management, to achieve the effect of saving human resources and strong robustness

CN110472524AActive Publication Date: 2019-11-19GUANGDONG UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-11-19

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Abstract

The invention discloses a deep learning-based invoice information management method and a system. The scheme is as follows: the method comprises the steps of a region of interest of an invoice pictureis manually marked in advance; the sample is used as a training sample of the convolutional neural network; an invoice scanning copy is input into the computer, the computer firstly obtains an area of interest through the detection module, then information is extracted and converted into data information through the character recognition module, the system classifies all the information in a self-adaptive mode, and finally an Excel table is obtained and used for financial staff to conduct information input and financial reimbursement operation. According to the invention, key information of atraditional paper invoice is automatically extracted, and an Excel table is generated for financial personnel to reimbursement, so that the workload of processes such as invoice information input andreimbursement auditing of the financial personnel in a traditional financial work process is greatly reduced. A large amount of human resources are saved.
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Description

technical field

[0001] The present invention relates to the technical field of invoice information collection and management, and more specifically, relates to a deep learning-based invoice information management method, system and readable medium. Background technique

[0002] The traditional financial reimbursement system requires financial personnel to collect invoices, manually identify the types and amounts of expenses that need to be reimbursed, and enter information on the computer. Traditional manual information entry is too time-consuming and laborious, and financial personnel need to spend a lot of time on this type of repetitive work.

[0003] The invention patent of publication number CN109344838A "Invoice Information Automatic and Rapid Recognition Method, System and Device" discloses a technical solution for image and text recognition using a neural network, but it does not further extract valid information of invoices separately to form an information manageme...

Examples

Embodiment 1

[0050] Such as figure 1 As shown, the first aspect of the present invention discloses a method for managing invoice information based on deep learning, comprising the following steps:

[0051] S1. Scan the paper version of the invoice through the invoice scanning module, and collect the invoice image data converted into image format, such as figure 2 shown in;

[0052] S2. Correct the preprocessing module to identify the invoice image and perform edge detection. If the inclination angle of the edge of the invoice image is greater than the preset threshold, correct the angle offset of the invoice image; otherwise, no operation is performed;

[0053] S3. The 1,000 invoice images collected by the detection module are annotated with the tool Imglabel. According to the characteristics of the information to be extracted, the information points to be extracted are annotated with corresponding category labels, such as image 3 shown; put the marked data into the Faster-Rcnn neural ...

Embodiment 2

[0074] The second aspect of the present invention discloses an invoice information management system based on deep learning, based on the above-mentioned invoice information management method based on deep learning, including

[0075] The invoice scanning module converts the original paper version of the invoice through the scanning of the peripheral lens device into a picture format file, and uploads the picture file to the system for further processing;

[0076] Correct the preprocessing module, identify the invoice image and perform edge detection. If the inclination angle of the edge of the invoice image is greater than the preset threshold, correct the angle offset of the invoice image; otherwise, no operation is performed;