Precise detection of Chinese characters in historical documents with deep reinforcement learning

作者：

Highlights：

• We propose precise detection of Chinese characters using a deep reinforcement learning framework to obtain tighter bounding boxes under large IoU.

• We propose a new PSRoI pooling method and a new dense reward function.

• The proposed deep reinforcement learning framework combines the advantages of three variants of Deep Q-Networks.

• Our method achieves state-of-the-art results on several Chinese historical document datasets.

摘要

•We propose precise detection of Chinese characters using a deep reinforcement learning framework to obtain tighter bounding boxes under large IoU.•We propose a new PSRoI pooling method and a new dense reward function.•The proposed deep reinforcement learning framework combines the advantages of three variants of Deep Q-Networks.•Our method achieves state-of-the-art results on several Chinese historical document datasets.

论文关键词：Deep reinforcement learning,Historical documents,Character detection,Reward function

论文评审过程：Received 22 July 2019, Revised 7 April 2020, Accepted 12 June 2020, Available online 18 June 2020, Version of Record 22 June 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107503