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    • OCR in the era of large models: current status and prospects

    • Driven by deep learning technology, OCR technology has made new breakthroughs, and multimodal large models and multi task unified large models perform well in complex scenarios, bringing broad application prospects to fields such as document digitization.
    • Vol. 30, Issue 6, Pages: 2023-2050(2025)   

      Received:09 March 2025

      Revised:09 April 2025

      Published:16 June 2025

    • DOI: 10.11834/jig.250098     

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  • Li Hongliang, Liu Yuliang, Liao Wenhui, Huang Mingxin, Zhang Shuo, Jin Lianwen. 2025. OCR in the era of large models: current status and prospects. Journal of Image and Graphics, 30(6):2023-2050 DOI: 10.11834/jig.250098.
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相关作者

Jin Lianwen 华南理工大学电子与信息学院;华南理工大学-珠海现代产业创新研究院
Zhang Shuo 华中科技大学人工智能与自动化学院
Huang Mingxin 华南理工大学电子与信息学院
Liao Wenhui 华南理工大学电子与信息学院
Liu Yuliang 华中科技大学人工智能与自动化学院
Li Hongliang 华南理工大学电子与信息学院
Zhuo Yishen 深圳大学机电与控制工程学院
Zeng Runhao 深圳北理莫斯科大学人工智能研究院;粤港澳情感智能与普适计算联合实验室

相关机构

SCUT-Zhuhai Institute of Modern Industrial Innovation
Artificial Intelligence Research Institute, Shenzhen MSU-BIT University
Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing
College of Mechatronics and Control Engineering, Shenzhen University
School of Computer and Mathematical Sciences,Adelaide University
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