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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/37165

    Title: Text Extraction in Video Images
    Authors: Yen, Shwu-huey;Wang, Chun-wei;Yeh, Jih-pin;Lin, Meng-ju;Lin, Hwei-jen
    Contributors: 淡江大學資訊工程學系
    Keywords: K-mean clustering;connected-component;discrete cosine transform (DCT);gray scale gradient (GDT);text information extraction
    Date: 2008-07-14
    Issue Date: 2010-01-11 12:31:36 (UTC+8)
    Abstract: We propose a method to extract text information from video sequences. First the frequency of high horizontal energy in a video frame is examined to extract text blocks. Structural operations are then performed to remove the background so that the text can be extracted for later recognition. Experiments show that the method is efficient and effective for extracting text from various video documents.
    Relation: Proceedings of the 2nd International Conference on Secure System Integration and Reliability Improvement (SSIRI 2008), pp.189-190
    DOI: 10.1109/SSIRI.2008.26
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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