Interactive natural scene text detection method

Abstract

The invention discloses an interactive natural scene text detection method. The interactive natural scene text detection method comprises the following steps of firstly labeling an area where an interested text is located in a scene picture, i.e. drawing a line on a text; selecting an expansion area from an original picture according to the line, carrying out edge detection in the expansion area, carrying out connected area labeling on an edge detection result, then carrying out projection on a boundary which is labeled with the result, and obtaining an edge text area; then carrying out operations of partitioning binaryzation, connected area labeling and projection on the edge text area, and obtaining a rough text area; and finally carrying out the operations of partitioning binaryzation and inverse color binaryzation on the rough text area, respectively carrying out connected area labeling, removing of various noises, boundary projection and connected area number determination on two binaryzation results, determining the polarity of the picture according to connected area number of two binary images, integrating connected areas, and obtaining an accurate text area. The interactive natural scene text detection method disclosed by the invention has adaptability on local space and has better detection effects for complicated-background text blocks in a natural scene picture.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to an interactive natural scene text detection method. Background technique [0002] With the widespread application of image acquisition equipment such as digital cameras, cameras, and ultra-high-speed scanners, the information in images has attracted more and more attention, but it is still very difficult for computers to understand the content of images. However, the text embedded in digital images can provide some important information that people need, such as book covers, videos, natural landscape pictures, color pictures of web pages, etc., which play an important role in understanding the content of images. Let the computer recognize the text in the image like human beings, that is, the automatic detection of text, has attracted more and more attention in recent years. It has extremely important significance for image storage, classification and retrieval, and ha...

AI Technical Summary

Problems solved by technology

[0005] If only one feature is used to distinguish complex objects, the information used is less, the reliability is poor, and the system performance is relatively low.

For text detection, whether it is edge features, color features, texture features, etc., it is impossible to obtain satisfactory results when used alone.

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