Big data automatic matching method based on image recognition
A technology of image recognition and big data, applied in the field of big data, can solve the problems that it is difficult to avoid missing or wrong detection, relying on the language level of the checking personnel, and the huge difference in the language expression of the same topic, so as to avoid excessive consumption, The effect of reducing data complexity and high accuracy
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Embodiment 1
[0035] like figure 1 Shown, based on the result big data automatic matching method of image recognition, described method carries out the following steps:
[0036] Step 1: Obtain the historical achievement document, and extract the image information and text information in the historical achievement document;
[0037] Step 2: Carry out content recognition on the extracted text information to obtain a content recognition result;
[0038] Step 3: Based on the content identification results, perform content classification to obtain multiple content classification groups, generate multiple content tags based on the content classification results, and establish a content classification tree based on the content tags; the content classification tree is a tree structure database; each node in the content classification tree is a content label; each content label corresponds to a content classification group; the lower-level nodes of the content classification tree are a subset of th...
Embodiment 2
[0044] On the basis of the previous embodiment, in the step 2 and step 7: the method for performing content recognition on the extracted text information includes: locating the text area in the document to be matched or in the historical document; Classify; input the image information of the text area into the text recognition model, and obtain the text information output by the text recognition model; based on the classification result of the text area, classify the text information output by the text recognition model into the category to which the text area belongs.
[0045] specific,
Embodiment 3
[0047] On the basis of the previous embodiment, inputting the image information of the text area into the text recognition model includes: inputting the image information of the text area into the text recognition model corresponding to the category to which the text area belongs, wherein different categories correspond to different Text recognition model; said classifying the text area includes: inputting the image feature data of the text area into the first classification model to obtain the category information output by the first classification model; wherein, the first classification model uses a certain number of markers The image feature data of the category is obtained after training as sample data.
[0048] Specifically, image features mainly include image color features, texture features, shape features, and spatial relationship features.
[0049] The color feature is a global feature that describes the surface properties of the scene corresponding to the image or i...
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