Chinese detection method in natural scene image based on connected domain

Abstract

The invention discloses a Chinese detection method in a natural scene image based on a connected domain. The method comprises the steps: firstly, obtaining the natural scene image, and carrying out preprocessing of stroke width transformation on the natural scene image, wherein an output of the stroke width transformation is an image, and each pixel value of the image represents a maximum possible stroke width of a pixel of a corresponding position of an original image; demarcating connected domains in the image pixels; extracting various features of a connected component after the connected component is obtained, wherein the feature combinations can well express the connected component; from a Chinese structure, firstly, carrying out within character mergence, then carrying out inter-character mergence, wherein a within character mergence method is used for detecting single Chinese character, a inter-character mergence method is used for detecting text lines, and a text area is demarcated by a rectangular frame. According to the Chinese detection method, a complex structure of Chinese serves as a starting point, pertinence in a Chinese detection aspect is good, and therefore the Chinese detection method in the natural scene image based on the connected domain has high initiative and high accuracy.

Description

technical field [0001] The invention relates to the field of text positioning, in particular to a Chinese detection method based on connected domains in natural scene images. Background technique [0002] Text is an important feature in many applications of computer vision. The text in the image contains a lot of useful information, which is crucial to the understanding and acquisition of visual content. The main purpose of text extraction is to convert text images into symbolic forms, which facilitates modification, retrieval, utilization and transmission. Text localization is an important step in text extraction. [0003] Text localization is the precise positioning of the text position in the image. The text localization method based on connected domains first represents the image as connected domains one by one, and then starts from the structural analysis, marks the text lines by combining methods, and outputs the results. [0004] Traditional merging methods are no...

AI Technical Summary

Problems solved by technology

However, because of the large number of Chinese characters, this method requires a large number of labeled positive and negative samples to learn, and the workload is relatively large, and it does not show an effective solution to the merging of connected domains with complex structures.

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