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Video image character recognition method based on submesh characteristic adaptive weighting

An adaptive weighting, video image technology, applied in the field of video image text recognition, can solve the problems of poor distinguishing ability and weak subdivision ability of similar word features, and achieve the improvement of recognition rate, stability and robustness, and easy implementation. Effect

Active Publication Date: 2012-09-12
博拉网络股份有限公司
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Problems solved by technology

The disadvantage is that the subdivision ability is weak, and the ability to distinguish similar characters is poor

Method used

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  • Video image character recognition method based on submesh characteristic adaptive weighting
  • Video image character recognition method based on submesh characteristic adaptive weighting
  • Video image character recognition method based on submesh characteristic adaptive weighting

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Embodiment Construction

[0016] The real-time mode of the present invention will be specifically described below with reference to the accompanying drawings. The invention designs a video image text recognition method based on sub-grid feature self-adaptive weighting. The method includes the following steps.

[0017] The Sobel operator is used to extract the edge feature information of the image, text detection is performed on the edge feature map, the edge of the background information in the complex image is cleared, the detected edge information is sequentially extracted to the area position, and the position information is gradually merged, so that Constitutes a complete text area, and notifies the character segmentation to obtain the area information of an independent single character. Then extract features based on stroke correlation on each character area, and compare the obtained features with the features contained in the font library. Use the method of multi-level classification, filter an...

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Abstract

The invention discloses a video image character recognition method based on submesh characteristic adaptive weighting. Aiming at the technical problems in the conventional video image character recognition, the invention provides an image character binaryzation method based on edge characteristics. After a binary image of a character is acquired, the image character is subjected to regional mesh division by an elastic mesh method; and before the elastic mesh characteristic of the image character is calculated, the relevance of stroke structures of adjacent meshes is extracted. By the method, the stability and the robustness of extracting the characteristic of the character are improved, so that the recognition rate of video image characters is increased.

Description

technical field [0001] The invention relates to a video image character recognition technology, in particular to a video image character recognition method based on sub-grid feature self-adaptive weighting. Background technique [0002] In recent years, with the rapid development of multimedia technology and computer network, the capacity of digital video is increasing at an alarming rate. In this way, the image captured from the digital video contains important text information, and to a certain extent, the main content of the image is briefly described and illustrated, which can be found in content-based video database retrieval (Huang Xianglin, Shen Lansun. Content-based image Retrieval technology research [J]. Electronic Journal. 2002, 30 (7): 1065-1071.) Play an important role. Detect and recognize the text information embedded in the image, so that users can obtain the rich information contained in the image more quickly and accurately. Therefore, how to quickly and ...

Claims

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Application Information

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IPC IPC(8): G06K9/20
Inventor 尚凤军胡晓冬王斌辅臧李立苏畅
Owner 博拉网络股份有限公司
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