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Text Region Detection Method in Mobile Phone Video  

Lee, Hoon-Jae (Department of Electrical Engineering, Korea University)
Sull, Sang-Hoon (Department of Electrical Engineering, Korea University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.5, 2010 , pp. 192-198 More about this Journal
Abstract
With the popularization of the mobile phone with a built-in camera, there are a lot of effort to provide useful information to users by detecting and recognizing the text in the video which is captured by the camera in mobile phone, and there is a need to detect the text regions in such mobile phone video. In this paper, we propose a method to detect the text regions in the mobile phone video. We employ morphological operation as a preprocessing and obtain binarized image using modified k-means clustering. After that, candidate text regions are obtained by applying connected component analysis and general text characteristic analysis. In addition, we increase the precision of the text detection by examining the frequency of the candidate regions. Experimental results show that the proposed method detects the text regions in the mobile phone video with high precision and recall.
Keywords
Text detection; morphology; k-means clustering; color segmentation;
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Times Cited By KSCI : 1  (Citation Analysis)
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