Character segmentation method and device based on character features and computer storage medium

Abstract

The invention provides a character segmentation method based on character features, which is applied to the technical field of image processing and comprises the steps of obtaining a to-be-processed image; performing binarization processing on the to-be-processed image to obtain a binarized image; performing feature extraction on the binary image by adopting a basic feature extraction network; forthe extracted features, carrying out feature extraction on the forms of the characters to obtain first features, and carrying out feature extraction on the number of the characters to obtain second features; fusing the first feature and the second feature by adopting a semantic segmentation network to generate a semantic segmentation graph; and determining a segmentation position of the characteraccording to the semantic segmentation graph. In addition, the invention further discloses a character segmentation device based on the character features and a computer storage medium.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a character segmentation method, device and computer storage medium based on character features. Background technique [0002] Character segmentation is the basis and premise of image text information extraction, and it must be reasonably and correctly segmented for characters. [0003] For character segmentation, the methods proposed earlier include projection-based segmentation and connected domain segmentation (Verticalprojection, Connected domain). When these two methods were proposed, they did not address the situation of sticky characters, so it is impossible to better divide each character when there are many unclear, missing, and sticky strokes in the actual scene picture. At the same time, due to the morphological characteristics of the upper and lower structures and the left and right structures of the Chinese characters themselves, many characters a...

AI Technical Summary

Problems solved by technology

Then water droplets and clustering-based segmentation methods (Water droplet, Clustering) consider the morphological characteristics of characters, but only optimize the local characteristics of characters, and use gravity-like or clustering methods to simply divide the sticky strokes. It has been improved to a certain extent, but the result in the division of complex sticky strokes is still not ideal

[0004] Therefore, lack an effective character cutting method in the prior art

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