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《Acta Electronica Sinica》 2009-01
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An Approach for Video-text Extraction Based on Text Traversing Line and Stroke Connectivity

TIAN Po-huang,PENG Tian-qiang,LI Bi-cheng (Zhengzhou Information Science and Technology Institute,Zhengzhou,Henan 450002,China)  
Automatic video-text extraction is an important field in video content comprehension.In complex background,conventional extraction methods can not robustly locate text nor eliminate interference from background.A robust video-text extraction method is proposed in this letter.First,an unsupervised paradigm based on wavelet is applied to obtain candidate text region.Second,traversing line and its aptitude spectrum is introduced,and text refinement is carried out by extracting traversing line features.At the end,according to the stroke connectivity,MFVL is introduced and applied to obtain key-points in strokes,from those key-points region growth and geometrical restriction is performed to obtain binary text image.Experiment demonstrates that our scheme can extract text with different color,font,size in complex image,and is better than method in Refs..
【CateGory Index】: TP391.41
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Chinese Journal Full-text Database 4 Hits
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