A robust and efficient algorithm for Chinese historical document analysis and recognition

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Abstract
This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading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.
Funding Information
  • National Natural Science Foundation of China (61936003)

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