Text region recognition method and device, equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, is applied to the field of smart government affairs, and provides a text region recognition method, device and equipment and a storage medium, which are used for improving the recognition accuracy of a business bill key text region. The text region recognition method comprises the steps of performing region segmentation on a to-be-processed business bill image and performing direction adjustment to obtain a preprocessed business bill image; performing text distribution type classification on the preprocessed business bill image through an image classification network based on an attention mechanism to obtain target text distribution type information; performing textbox detection on the preprocessed business bill image based on the target text distribution type information through a preset text detection network to obtain a target textbox; and performing optical character recognition on the target textbox through a preset end-to-end text recognition network to obtain text region recognition information. In addition, the invention also relates to a block chain technology, and the to-be-processed business bill image can be stored in a block chain.

Description

technical field [0001] The present invention relates to the field of artificial intelligence image detection, and in particular, to a text area recognition method, device, equipment and storage medium. Background technique [0002] With the rapid development of technologies such as computer vision, deep learning has been applied in more and more fields. But compared with text recognition in other scenarios, the layout of business ticket images is fixed, and its text distribution is very important prior information. Making full use of this information can make the recognition accuracy of business bill text much higher than that of other irregular scene text recognition. Therefore, the recognition technology of business bill images using deep learning has also been continuously developed. However, they all have some common problems: only a few types of business tickets are supported, and their generalization is extremely limited; due to insufficient experimental data collecti...

AI Technical Summary

Problems solved by technology

However, they all have some common problems: they only support several types of business notes, and their generalization is extremely limited; due to insufficient experimental data collection methods, they do not support complex scenes or the accuracy is not high after scene changes

Therefore, it leads to the complexity of its recognition, which leads to a low recognition accuracy rate of the key text area of ​​the business note

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