A method and system for character detection in natural scenes

Abstract

The invention discloses a natural scene character detection method and system and belongs to the technical field of mode identification. The natural scene character detection method comprises the steps of performing binarization processing on an image to obtain a character preliminary candidate region, and establishing two layers of filtering mechanisms based on judgment rules and a confidence coefficient image to remove a pseudo character region; making obtained character candidate region form a seed region in order to solve the character loss problem possibly caused in the earlier stage processing and restoring the lost character candidate region in the adjacent region according to contextual information; making adjacent character regions arranged in the horizontal direction form character lines and performing judgment through a classifier to remove pseudo character lines; finally, segmenting characters in the character lines with words as units. By means of the natural scene character detection method and system, characters in complex natural scenes can be extracted effectively, and high actual value in quickening automation and intelligence of comprehension and analysis of the natural scenes is achieved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and more specifically relates to a method and system for character detection in natural scenes. Background technique [0002] With the maturity and popularization of digital camera equipment, people have been able to record all aspects of the real world under different perspectives very conveniently and quickly. As a human language, visual text has a special and irreplaceable position in human activities. Text detection in natural scenes is one of the important research topics of computer vision and pattern recognition technology in the field of target detection and recognition. The purpose of this technology is to accurately detect text information in the captured natural scene images. It has broad application prospects in natural scene understanding and analysis, robot-assisted navigation, video retrieval, assisted reading for the blind, and text translation. [0003] The ultimate...

AI Technical Summary

Problems solved by technology

Coupled with many factors such as changes in shooting angles and the influence of different lighting, it is difficult to quickly and accurately detect text areas in natural scene images

In the existing technical solutions, the method based on connected domain analysis has the advantage of faster speed, but it is difficult to effectively deal with the situation of complex background; and the method of classifier can effectively deal with the situation of complex background, but due to the need for multi-scale Traverse the image and judge each detection window, resulting in slower speed

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