Text information contains important information for video analysis, indexing, and retrieval. Effective and efficient text extraction\nhas been a challenging topic in recent years. Focusing on this issue, a text extraction method for complex video scene is proposed\nin this paper. Multiframe corner matching and heuristic rules are combined together to detect the text region candidates, which\nsolves the issue of Harris corner filtration for complex video scene and also improves the detection accuracy using multiframe\nfusion. Local texture description is then used for similarity evaluation judged by SVM. Experimental results for 4 different types of\n395-frame video images show the effectiveness of the proposed method compared with 5 existing text extraction methods
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