A robust and efficient algorithm for Chinese historical document analysis and recognition
This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading order predictor.
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Veröffentlicht in: | National science review 2023-06, Vol.10 (6), p.nwad115-nwad115 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading order predictor. |
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ISSN: | 2095-5138 2053-714X |
DOI: | 10.1093/nsr/nwad115 |