Inscription oriented Chinese character extracting method

Abstract

The present invention provides an inscription oriented Chinese character extracting method, mainly comprising two parts: a Chinese character region positioning method based on Area Voronoi and a single character segmentation method based on a communication field and a bounding box; and the method comprises the steps of: firstly, for a distribution rule and feature of Chinese characters in an inscription image, acquiring communication fields in the image as generators, and representing the contour of each communication field by using a Freeman encoding chain; constructing an Area Voronoi diagram of the image by using a contour boundary extension method; then according to a standard deviation between the communication fields, merging adjacent Area Voronoi regions so as to complete the positioning operation of a Chinese character region; after acquiring an image of the Chinese character region, performing pre-processing on the image and removing a certain noise influence; and by concluding structure features of the Chinese characters, combining a communication field analysis method with a bounding box overlapping judgment method, and performing single character extraction on the Chinese characters. According to the inscription oriented Chinese character extracting method provided by the present invention, for an arrangement rule of ancient inscriptions, the extraction work for a single Chinese character can be better completed, and the method has a certain noise immunity.

Description

technical field [0001] The invention belongs to the field of computer vision and computer graphics and image processing, and specifically relates to a method for locating text in an image and extracting individual characters. The method can facilitate the study of ancient Chinese characters and is of great significance for exploring the evolution law of ancient and modern Chinese characters. Background technique [0002] Inscriptions, as a traditional art form of calligraphy, record the development and evolution of Chinese characters from ancient times to the present. However, since the inscriptions have generally experienced a long historical period and are also affected by natural corrosion, it is not conducive to permanent preservation and dissemination. With the popularization of computers and the development of related scanning equipment, inscriptions can be scanned into digital images and stored in computers. Effective extraction of Chinese characters in inscriptions i...

AI Technical Summary

Problems solved by technology

This type of algorithm has a good positioning effect for images with a relatively single background, but its performance depends on the generation of initial connected domains, and it faces challenges for images with complex background textures; the second is an edge-based method, which focuses on text The high contrast between the background and the background has high time efficiency, but it cannot remove the complex texture background. It is often combined with other algorithms as the initial rough positioning; the third is the texture-based method. Wu et al. use three different scales A Gaussian filter is used to filter the image and perform a linear transformation, and a text localization method for multi-scale texture segmentation is proposed

Such methods usually have high robustness, but due to the large amount of calculation and high complexity required for texture analysis, they are time-consuming

[0004] At this stage, there are not many studies on Chinese character extraction from inscription images. Due to the inconsistent arrangement of Chinese characters in inscriptions and the complex structure of Chinese characters, general Chinese character extraction methods cannot be directly applied to this field to achieve better results.

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