Forthcoming Articles

International Journal of Applied Pattern Recognition

International Journal of Applied Pattern Recognition (IJAPR)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Applied Pattern Recognition (One paper in press)

Regular Issues

  •   Free full-text access Open AccessHigh-precision recognition method for sparsely arranged financial tables
    ( Free Full-text Access ) CC-BY-NC-ND
    by Xiaofeng Shi, Yahui Ji, Menghui Liu 
    Abstract: Table recognition and parsing is an important task in the field of information extraction. Especially in financial printing sparse layout forms, the cell spacing within the form is obvious, and the arrangement structure is relatively loose, the form frame line is complex, and the multi-line text within the cell brings a big challenge to form recognition. In order to solve this problem, an end-to-end efficient recognition algorithm for financial sparse layout forms is proposed, which realises form structure recognition and content filling by processing text semantics and structure, using dynamic difference detection algorithm, overlap-driven algorithm, and differential method. A large number of experiments have been done on 13 bank flow forms, and the results show that the mean overall accuracy is as high as 99.85%, which meets the requirements of financial-grade accuracy, and especially demonstrates strong robustness in complex borderline scenarios. The research aims to provide new theoretical support and technical reference for the field of form recognition.
    Keywords: table analysis; sparse layout; end-to-end analysis; high precision.
    DOI: 10.1504/IJAPR.2026.10078484
     

 

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