Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0210008(2021)

Text Line Segmentation of Tibetan Historical Documents Based on Text Core Regions Combined with Expansion Growth

Jincheng Li1, Xiaojuan Wang2, Weilan Wang1、*, Qiang Lin2, and Pengfei Hu2
Author Affiliations
  • 1Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, Gansu 730030, China
  • 2College of Mathematics and Computer Science, Northwest Minzu University, Lanzhou, Gansu 730030, China
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    References(16)

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    [5] Setitra I, Meziane A, Hadjadj Z et al. Text line segmentation in handwritten documents based on connected components trajectory generation[M]. ∥ De Marsico M, di Baja G, Fred A. Pattern recognition applications and methods. Lecture notes in computer science. Cham: Springer, 10857, 222-234(2018).

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    [10] Wang Y Q, Wang W L, Li Z J et al. Research on text line segmentation of historical Tibetan documents based on the connected component analysis[M]. ∥ Lai J H. Pattern recognition and computer vision. Lecture notes in computer science Cham: Springer, 11258, 74-87(2018).

    [11] Li Z J, Wang W L, Chen Y et al. A novel method of text line segmentation for historical document image of the uchen Tibetan[J]. Journal of Visual Communication and Image Representation, 61, 23-32(2019).

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    [15] Li Z J, Wang W L, Cai Z Q. Historical document image binarization based on edge contrast information[M]. ∥Arai K, Kapoor S. Advances in computer vision. Advances in intelligent systems and computing. Cham: Springer, 943, 614-628(2020).

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    Jincheng Li, Xiaojuan Wang, Weilan Wang, Qiang Lin, Pengfei Hu. Text Line Segmentation of Tibetan Historical Documents Based on Text Core Regions Combined with Expansion Growth[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210008

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    Paper Information

    Category: Image Processing

    Received: Jun. 8, 2020

    Accepted: Jul. 7, 2020

    Published Online: Jan. 8, 2021

    The Author Email: Weilan Wang (wangweilan@xbmu.edu.cn)

    DOI:10.3788/LOP202158.0210008

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