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Laser & Optoelectronics Progress, Volume. 58, Issue 12, 1210007(2021)

Offline Handwritten Text Recognition Based on CTC-Attention

Yangyang Ma and Bing Xiao*
Author Affiliations
  • College of Computer Science, Shaanxi Normal University, Shaanxi, Xi’an, 710062 China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
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    References (22)
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    Figures & Tables(6)
    MTL framework based on CTC-Attention

    Fig. 1. MTL framework based on CTC-Attention

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    CNN+LSTM structure

    Fig. 2. CNN+LSTM structure

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    Example of original dataset

    Fig. 3. Example of original dataset

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    Word accuracy curves of different λ

    Fig. 4. Word accuracy curves of different λ

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    • Table 1. CER and WER of MTL on valid dataset unit: %

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      Table 1. CER and WER of MTL on valid dataset unit: %

      ModelCER(valid)WER(valid)
      CTC9.727.6
      Attention7.119.1
      MTL(λ=0.2)6.618.2
      MTL(λ=0.5)7.419.8
      MTL(λ=0.8)10.429.2

    • Table 2. Comparison of the recognition rate of several popular methods on the IAM dataset

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      Table 2. Comparison of the recognition rate of several popular methods on the IAM dataset

      MethodAuthorPre-processingLexiconLanguage modelPre-trainCERWER
      RNN+CTCMor et al[19]Krishnan et al[20]Stunner et al[21]Wiginton et al[22]√2.4 million√√Synthetic6.344.776.0720.9016.1913.3019.07
      AttentionBluche et al[6]Sueiras et al[1]√CTC12.60 8.8023.80
      CTC_AttentionOurs6.6018.20
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    Yangyang Ma, Bing Xiao. Offline Handwritten Text Recognition Based on CTC-Attention[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210007

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    Paper Information

    Category: Image Processing

    Received: Aug. 24, 2020

    Accepted: Oct. 14, 2020

    Published Online: Jun. 18, 2021

    The Author Email: Xiao Bing (16392603@qq.com)

    DOI:10.3788/LOP202158.1210007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology