Method and system for extracting financial information for accounting
A technology for financial and category information, applied in the field of intelligent identification, which can solve problems such as unfavorable big data analysis and inability to apply financial records
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Embodiment 1
[0134] In the method for extracting financial information for accounting, the steps are as follows.
[0135] Step 1: Receive an image with financial information;
[0136] Step 1.1: The received images containing financial information can be pictures or videos, etc.;
[0137] Step 1.2: The image sources for generating pictures or videos are generally obtained by taking screenshots or screen recordings of pages including but not limited to transaction records, capital flow records, and asset and liability records in software that has created financial information; asset records, transaction records Both are a type of financial records.
[0138] Step 2: Use the preset classification model to classify the images containing financial information according to the source of generating financial information to obtain image category information and category numbers;
[0139] Step 2.1: The classification model is obtained by using the neural network model to perform classification and...
Embodiment 2
[0155] Embodiment 2 can be regarded as a preferred example of Embodiment 1. The system for extracting financial information for accounting described in Embodiment 2 utilizes the method steps for extracting financial information for accounting described in Embodiment 1.
[0156] like figure 1 As shown, in the system for extracting financial information for accounting, after receiving images, it classifies the image categories, extracts image information according to the categories, and then associates accounting. Specifically, the following modules are included:
[0157] Module S1: using a first device to receive a first image;
[0158] Module S2: using a preset classification model to classify the first image according to the generation source, and generate image category information and image category number;
[0159] Module S3: According to the image category number, use the preset financial information extraction model corresponding to the category of the image category ...
Embodiment 3
[0176] like Figure 5 As shown, step S3 and step S4 in embodiment 1 are further optimized in this embodiment, and the specific content of this embodiment is as follows:
[0177] Step S1: using a first device to receive a first image;
[0178] Step S2: Use a preset classification model to classify the first image according to the generation source, and generate image category information and image category number;
[0179] Step S3: Extract all text and image information in the first image using a preset text image information extraction model;
[0180] Step S4: According to the image category number, use the preset financial information analysis model corresponding to the category of the image category number, match and filter out the financial fields associated with the preset financial information dictionary from the extracted text image information, and generate different extract financial records;
[0181] Step S5: Record the image category information and the text and / o...
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