Picture character positioning method and device, computer equipment and storage medium

Abstract

The invention discloses a picture character positioning method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a target picture which comprises a to-be-recognized character; inputting the target picture into a texture extraction model to obtain a plurality of texture feature layers of the target picture, wherein the texture extraction model is obtained through analysis according to texture features in a historical image and used for extracting the texture feature layers in the input picture; screening out a basic texture feature layer from theplurality of texture feature layers; performing feature superposition on the basic texture feature layer to obtain a texture feature layer of the to-be-recognized character; and obtaining the position of the to-be-recognized character in the target picture according to the texture feature layer of the to-be-recognized character. The method is short in time consumption and high in accuracy.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a picture and text positioning method, device, computer equipment and storage medium. Background technique [0002] With the increasing content of pictures on the Internet and the increasing number of office scanned and printed documents, it is often necessary to convert scanned and printed pictures into text information, so how to achieve efficient text recognition and detection to quickly complete the text conversion in scanned and printed pictures become an urgent problem to be solved. The current common text recognition and detection schemes generally include two parts: text positioning and recognition. The accuracy and efficiency of text line positioning are linearly proportional to the accuracy of text recognition. [0003] The existing text line positioning methods are divided into two categories: line positioning methods based on anchors (Anchors) and line posi...

AI Technical Summary

Problems solved by technology

Among them, the disadvantage of the anchor-based line positioning method is that the receptive field will limit the length of the detection content. If the detection content does not match the receptive field, it may affect the accuracy of text positioning.

However, the row positioning method based on segmentation needs to introduce a large amount of data for model training or data analysis, which takes a lot of time.

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