Method and system for detecting text in video images
A technology of video image and detection method, which is applied in the direction of character and pattern recognition, instruments, computer parts, etc., which can solve the problem of low text image contrast, low text detection accuracy and recall rate, and inability to obtain better classification results, etc. problem, to achieve the effect of ensuring correct rate, improving accuracy and recall rate
Active Publication Date: 2016-03-16
北京捷成世纪数码科技有限公司
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When the background is complex, this kind of method often cannot get better classification results by directly using texture features.
[0007] Due to the different sizes of text in video images, different lengths of video text lines, various font colors, and low contrast between text and images, traditional methods have defects such as low accuracy and recall of text detection.
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[0036] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0037] Such as figure 1 As shown, the present invention provides a kind of detection method of video image text, comprises the steps: video image text area rough positioning and video image text area positioning verification, concrete steps are:
[0038]Step A, rough localization of the video image text area: calculate the Gaussian pyramid multi-scale image of the video image, use the threshold segmentation method to segment the image text area, and then use the expansion and erosion techniques in mathematical morphology to merge the text area, and finally through connected domain analysis, Text line segmentation and elimination rule analysis to locate candidate text area...
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The invention discloses a detection method and a detection system for video image text and relates to the technical field of image text detection. The method comprises the following steps of coarse positioning of video image text areas and verification of video image text areas. The specific steps are as follows: (A) coarse positioning of video image text area: the gaussian pyramid multi-scale image of a video image is calculated, the image text area is segmented by threshold segmentation, text areas are combined by the inflation and corrosion technology in mathematical morphology, and candidate text areas are analyzed and positioned by connected domain analysis, text line segmentation and elimination rules; and (B) verification of video image text areas: an adaboost classifier is trained by adopting harr characteristics, and the adaboost classifier is utilized to detect whether text exists in the candidate text areas and the candidate text areas the text of which is not detected are eliminated. The method and the system can improve the accuracy and the recall ratio of video image text detection.
Description
technical field [0001] The invention relates to the technical field of image text detection, in particular to a video image text detection method and system. Background technique [0002] With the development of digital networking, there are more and more digital images and videos. The text in pictures or videos can provide direct high-level semantic information. Therefore, the development of video image text detection technology is helpful for understanding and managing video images. For example, detecting and analyzing text content in pictures helps to provide effective features for image filtering and monitoring of bad content. The titles in news videos usually indicate the time, place and people of the news, which provides support for news content analysis and retrieval. Sports game videos , the score of the game, and the player's number play an important role in the automatic video content analysis and the instant detection of exciting sports. Image text in natural sce...
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IPC IPC(8): G06K9/32G06K9/62
Inventor 苏鹏宇徐洪伟
Owner 北京捷成世纪数码科技有限公司