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    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/150621
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/150621

    Title: Reading between the lines: Image-based order detection in OCR for Chinese historical documents
    Authors: 劉昭麟
    Liu, Chao-Lin;Ma, Hsing-Yuan;Huang, Hen-Hsen
    Contributors: 資訊系
    Keywords: Artificial Intelligence;Visual processing
    Date: 2024-02
    Issue Date: 2024-03-26 16:27:48 (UTC+8)
    Abstract: Chinese historical documents, with their unique layouts and reading patterns, pose significant challenges for traditional Optical Character Recognition (OCR) systems. This paper introduces a tailored OCR system designed to address these complexities, particularly emphasizing the crucial aspect of Reading Order Detection(ROD). Our system operates through a threefold process: text detection using the Differential Binarization++ model, text recognition with the SVTR Net, and a novel ROD approach harnessing raw image features. This innovative method for ROD, inspired by human perception, utilizes visual cues present in raw images to deduce the inherent sequence of ancient texts. Preliminary results show promising reductions in page error rates. By preserving both content and context, our system contributes meaningfully to the accurate and contextual digitization of Chinese historical manuscripts.
    Relation: Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23808-23810
    Data Type: conference
    DOI 連結: https://doi.org/10.1609/aaai.v38i21.30572
    DOI: 10.1609/aaai.v38i21.30572
    Appears in Collections:[資訊科學系] 會議論文

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