A Comparison of Approaches for Automated Text Extraction from Scholarly Figures View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017

AUTHORS

Falk Böschen , Ansgar Scherp

ABSTRACT

So far, there has not been a comparative evaluation of different approaches for text extraction from scholarly figures. In order to fill this gap, we have defined a generic pipeline for text extraction that abstracts from the existing approaches as documented in the literature. In this paper, we use this generic pipeline to systematically evaluate and compare 32 configurations for text extraction over four datasets of scholarly figures of different origin and characteristics. In total, our experiments have been run over more than 400 manually labeled figures. The experimental results show that the approach BS-4OS results in the best F-measure of 0.67 for the Text Location Detection and the best average Levenshtein Distance of 4.71 between the recognized text and the gold standard on all four datasets using the Ocropy OCR engine. More... »

PAGES

15-27

References to SciGraph publications

  • 2013. Three-Stage Method of Text Region Extraction from Diagram Raster Images in PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013
  • 2015-06. Exploiting colour information for better scene text detection and recognition in INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (IJDAR)
  • 2006. Semi-automatic Ground Truth Generation for Chart Image Recognition in DOCUMENT ANALYSIS SYSTEMS VII
  • 2015-01. Recognizing text in raster maps in GEOINFORMATICA
  • 2013-03. A general approach for extracting road vector data from raster maps in INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (IJDAR)
  • 2009-07. Automated analysis of images in documents for intelligent document search in INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (IJDAR)
  • Book

    TITLE

    MultiMedia Modeling

    ISBN

    978-3-319-51810-7
    978-3-319-51811-4

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-51811-4_2

    DOI

    http://dx.doi.org/10.1007/978-3-319-51811-4_2

    DIMENSIONS

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