Harris angular point and stroke width based text region detection method

A text area and corner detection technology, which is applied in the field of image processing, can solve the problems of many text false alarms, unfavorable fast and accurate positioning of text areas of a large amount of image data, and low text efficiency.
CN105205488AInactive Publication Date: 2015-12-30NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NORTHWESTERN POLYTECHNICAL UNIV
Publication Date
2015-12-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a Harris angular point and stroke width based text region detection method. The method mainly comprises such three parts of edge enhanced Harris angular point detection, stroke width based candidate region scanning and text color based region expansion. According to the invention, a text region is acquired through detection for angular points, connected region analysis is carried out, and a response region which does not conform to text line characteristics is removed, thereby being capable of significantly improving the accuracy of angular point detection for the text region in an image. Compared with a text detection method singly based on edge characteristics, the method provided by the invention can improve the recall rate of text detection in the image. Compared with a text region detection method singly based on connected regions, the method provided by the invention can acquire higher detection efficiency. The text region detection method has advantages when being compared with the text detection method singly based on the edge characteristics and the text detection method singly based on the connected regions.
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Description

technical field

[0001] The invention relates to image processing, in particular to a character area detection method. Background technique

[0002] According to Internet statistics in 2012, various electronic devices connected to the Internet reached 17 billion in that year, and 300 million images were uploaded to Facebook every day. Facing the huge amount of image and video resources on the Internet, how to understand them correctly and efficiently has become the focus of current multimedia information technology research. Compared with the low-level information such as the color and grayscale of the image, the text information in the image is closely related to the content of the image, and it is high-level semantic information that can be directly understood and utilized by people. important clues to the content. Existing text detection methods in complex backgrounds can be divided into three categories, namely edge feature-based methods, connected region-based methods ...

Claims

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