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International Conference on Advanced Concepts for Intelligent Vision Systems

ACIVS 2012: Advanced Concepts for Intelligent Vision Systems pp 108–119Cite as

Quality Assurance for Document Image Collections in Digital Preservation

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7517))

Abstract

Maintenance of digital image libraries requires to frequently asses the quality of the images to engage preservation measures if necessary. We present an approach to image based quality assurance for digital image collections based on local descriptor matching. We use spatially distinctive local keypoints of contrast enhanced images and robust symmetric descriptor matching to calculate affine transformations for image registration. Structural similarity of aligned images is used for quality assessment. The results show, that our approach can efficiently asses the quality of digitized documents including images of blank paper.

This work was partially supported by the SCAPE Project. The SCAPE project is co-funded by the European Union under FP7 ICT-2009.4.1 (Grant Agreement number 270137).

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Author information

Authors and Affiliations

  1. Research Area Intelligent Vision Systems Department Safety & Security, Austrian Institute of Technology, Austria

    Reinhold Huber-Mörk & Alexander Schindler

  2. Department of Software Technology and Interactive Systems, Vienna University of Technology, Vienna, Austria

    Alexander Schindler

Authors
  1. Reinhold Huber-Mörk
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  2. Alexander Schindler
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Editor information

Editors and Affiliations

  1. DGA, 7-9 rue des mathurins, 92 221, Bagneux, France

    Jacques Blanc-Talon

  2. Telecommunications and Information processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, 9000, Ghent, Belgium

    Wilfried Philips

  3. CSIRO ICT Centre, Epping, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  4. University of Antwerp, Universiteitsplein 1, Building N. 2610,, Wilrijk, Belgium

    Paul Scheunders

  5. Faculty of Information Technology, Brno University of Technology, 61266, Brno, Czech Republic

    Pavel Zemčík

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© 2012 Springer-Verlag Berlin Heidelberg

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Huber-Mörk, R., Schindler, A. (2012). Quality Assurance for Document Image Collections in Digital Preservation. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P., Zemčík, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2012. Lecture Notes in Computer Science, vol 7517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33140-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-33140-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33139-8

  • Online ISBN: 978-3-642-33140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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