MaskRCNN-based Chinese character stroke segmentation and extraction method and system

Abstract

The invention discloses a MaskRCNN-based Chinese character stroke segmentation and extraction method. The method comprises the following steps: forming a stroke segmentation data set, analyzing fonts, and generating a training set and a verification set; constructing a MaskRCNN network model, wherein the MaskRCNN network model comprises a backbone network, a regional suggestion network and a branch network; presetting initial parameters and iteration times of a MaskRCNN network model, and performing image enhancement on the training set to supplement data; training a MaskRCNN network model, updating network parameters through the training set, and selecting and storing optimal parameters through the verification set; inputting a to-be-detected Chinese character image into the trained network model to obtain a stroke segmentation extraction result; according to the method, the Mask RCNN algorithm in the instance segmentation field is innovatively used in the stroke segmentation extraction task of the Chinese character, and compared with a stroke extraction method, the processing effect and efficiency are greatly improved.

Description

Technical field [0001] The present invention relates to the field of image segmentation, and in particular, to a Chinese character stroke segmentation extraction method and system based on MaskrCNN. Background technique [0002] Chinese characters are one of the oldest words in the world. It is the foundation of my country's cultural and endless, and the stroke is part of Chinese characters. The structure of Chinese characters is formed, and the words are not allowed to open, and the Chinese characters are automatically segmented and extracted. It is an important and challenging task. The challenge of the Chinese character stroke segmentation is mainly reflected in the complex Chinese character structure, the stroke connection of different fonts, the shape of the stroke and the long and short thickness of the stroke, even between the same font, the strokes and strokes, the relative position between parts and components The inclination angle of the stroke will also change. [0003...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a Chinese character stroke segmentation and extraction method and system based on MaskRCNN, which is used to solve the problems of inaccurate stroke segmentation and extraction, slow extraction efficiency, etc.

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