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Thai Scene Text Recognition with Character Combination

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Pattern Recognition and Computer Vision (PRCV 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13536))

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Abstract

In recent years, scene text recognition(STR) that recognizing character sequences in natural images is in great demand beyond various fields. However, most STR studies only focus on popular scripts like Chinese or English, too little attention has been paid to minority languages. In this paper, we address problems on Thai STR, and introduce a novel strategy called Thai Character Combination(TCC), which explore original characteristics of Thai text. Unlike most other scripts, characters in Thai text can be written both horizontally and vertically, which brings big challenges to current sequence-based text recognition methods. In order to reduce complexity of structure and alleviate the misalignment problem in attention-based methods, TCC intends to combine Thai characters that stack vertically to independent combined characters. Furthermore, we establish a Thai Scene Text(TST) dataset that collected from multiple scenarios to evaluate the performance of our proposed character modeling strategy. We conduct abundant experiments and analyses to compare the recognition performance of models with and without TCC. The results indicate the effectiveness of the proposed method from multiple perspectives, especially, TCC benefits a lot for long text recognition, and there is a substantial improvement in the recognition accuracy of entire string-level.

C. Li and H. Zhan—These authors contributed equally to this work.

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Author information

Authors and Affiliations

  1. Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, 200241, China

    Chun Li, Hongjian Zhan & Yue Lu

  2. School of Communication and Electronic Engineering, East China Normal University, Shanghai, 200062, China

    Chun Li, Hongjian Zhan & Yue Lu

  3. Chongqing Key Laboratory of Precision Optics, Chongqing Institute of East China Normal University, Chongqing, 401120, China

    Hongjian Zhan

  4. iFlytek Research, iFlytek Co., Ltd., Hefei, China

    Kun Zhao

Authors
  1. Chun Li
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  2. Hongjian Zhan
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  3. Kun Zhao
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  4. Yue Lu
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Corresponding author

Correspondence to Yue Lu .

Editor information

Editors and Affiliations

  1. Southern University of Science and Technology, Shenzhen, China

    Shiqi Yu

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhaoxiang Zhang

  3. Hong Kong Baptist University, Hong Kong, China

    Pong C. Yuen

  4. Northwestern Polytechnical University, Xi'an, China

    Junwei Han

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  6. Hong Kong Baptist University, Hong Kong, China

    Yike Guo

  7. Sun Yat-sen University, Guangzhou, China

    Jianhuang Lai

  8. Southern University of Science and Technology, Shenzhen, China

    Jianguo Zhang

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Li, C., Zhan, H., Zhao, K., Lu, Y. (2022). Thai Scene Text Recognition with Character Combination. In: Yu, S., et al. Pattern Recognition and Computer Vision. PRCV 2022. Lecture Notes in Computer Science, vol 13536. Springer, Cham. https://doi.org/10.1007/978-3-031-18913-5_25

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  • DOI: https://doi.org/10.1007/978-3-031-18913-5_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18912-8

  • Online ISBN: 978-3-031-18913-5

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