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  • Blomqvist, Christopher, et al. (author)
  • Joint Handwritten Text Recognition and Word Classification for Tabular Information Extraction
  • 2022
  • In: 2022 26th International Conference on Pattern Recognition (ICPR). - 9781665490627 - 9781665490634 ; , s. 1564-1570
  • Conference paper (peer-reviewed)abstract
    • In this paper, we present a system for extracting tabular information from loosely structured handwritten documents. The system consists of three parts, (i) a u-net like CNN-based method for text detection and segmentation, (ii) a new attention-based method for simultaneous text recognition and classification of word-parts, and (iii) a method for matching the word parts into a tabular structure for each entry. A key contribution is the observation that the new attention-based recognition and classification module makes it possible for improved spatial analysis of the tabular information. The method is evaluated on a unique historical document: The Swedish Wealth Tax of 1571, consisting of 11,453 pages of hand-written tax records. The evaluation shows that the system provides a significant improvement to the state-of-the-art to the problem of tabular extraction from loosely structured historical documents.
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Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Åström, Kalle (1)
Jakobsson, Andreas (1)
Enflo, Kerstin (1)
Blomqvist, Christoph ... (1)
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Lund University (1)
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English (1)
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Social Sciences (1)
Year
2022 (1)

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