Automatic detection method for Chinese character area of shop sign in natural scene

Abstract

The invention discloses an automatic detection method for a Chinese character area of a shop sign in a natural scene. The automatic detection method comprises the following steps of: A, acquiring vectors V1 and V2 which reflect main pixel colors of a sampling region image; B, determining a background outline of an original image by using the vectors V1 and V2; C, dividing an HSV (Hue, Saturation and Value) color space into eight color spaces including black, white, red, yellow, green, cyan, blue and fuchsine; C, carrying out color separation on an original image to obtain eight color distribution binary images; carrying out Chinese character connected area analysis on the eight color distribution binary images to obtain eight text line binary images; F, filtering text lines, which do not conform to a Chinese character writing rule, in each text line binary image to obtain refined Chinese character areas; G, mixing the refined Chinese character areas of different colors to obtain a Chinese character area of the original image. By using the automatic detection method for the Chinese character area of the shop sign in the natural scene, the detection accuracy of the Chinese character area can be efficiently improved, the automatic detection method has significant importance for application of Chinese character recognition in the natural scene.

Description

technical field [0001] The invention relates to the technical field of image processing in natural scenes, in particular to an automatic detection method for Chinese character areas on store signs in natural scenes. Background technique [0002] In recent years, with the popularization of smart devices, people can conveniently take various pictures in natural scenes. The text in the picture is important information contained in the image, so detecting and recognizing the text in the image is very helpful for understanding the content of the image. Although the existing OCR text recognition technology has matured, there may be a series of problems such as uneven lighting, incorrect angles, and severe reflections in natural scenes, and the pictures taken at the same time have complex backgrounds and often contain multiple fonts and font sizes. Even deformed text makes OCR fail to achieve ideal results for text detection in natural scenes. Contents of the invention [0003]...

AI Technical Summary

Problems solved by technology

Although the existing OCR text recognition technology has matured, there may be a series of problems such as uneven lighting, incorrect angles, and severe reflections in natural scenes, and the pictures taken at the same time have complex backgrounds and often contain multiple fonts and font sizes. Even deformed text makes OCR fail to achieve ideal results for text detection in natural scenes

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