Free scene text detection method based on affine transformation

Abstract

The invention provides a free scene text detection method based on affine transformation and relates to the field of image processing. According to the free scene text detection method provided by theinvention, MSER (Maximally Stable Extremal Regions) and SWT (Stroke Width Transform) are combined to realize text detection; then a vertex of a peripheral quadrilateral of each character is utilizedand is combined with an inertia principal axis to find out a quadrilateral for reflecting text distortion characteristics, so as to find out an affine parameter to carry out affine transformation; finally, detection of an image text and elimination of distortion are realized. According to the free scene text detection method provided by the invention, the accuracy of the text is remarkably improved; compared with a single text detection method based on a communication region, the recalling rate and the detection efficiency can be improved and automatic affine transformation is carried out; finally, the detection and the elimination of the image text are realized; compared with other manual affine transformation, the working efficiency is greatly improved and OCR (Optical Character Recognition) in the future is more accurate.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a text region detection method. Background technique [0002] In recent years, with the continuous development of network technology and the prevalence of more and more portable digital cameras and mobile phones, image and video resources have become increasingly abundant. Obtaining interesting information from these massive images and videos has become the focus of current multimedia information technology research. hotspot. The text in images and videos contains rich semantic information, which is an important clue to understand the content of images and videos. Extracting and recognizing texts in such images and videos is very important for image understanding, video content analysis, content-based image and video retrieval, etc. is of great significance. Regarding the text recognition part, at present, although Optical Character Recognition (OCR) technology has been develope...

AI Technical Summary

Problems solved by technology

The method based on the edge gradient uses the rich edge information of the text area, while the edge information of the surrounding background is less, and uses the edge information to detect the text, such as sobel edge detection, Harris corner detection and other methods, but when the image is complex background Poor corner and edge detection when rich

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