Quality Assurance for Document Image Collections in Digital Preservation

  • Reinhold Huber-Mörk
  • Alexander Schindler
Conference paper

DOI: 10.1007/978-3-642-33140-4_10

Volume 7517 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Reinhold Huber-Mörk
    • 1
  • Alexander Schindler
    • 1
    • 2
  1. 1.Research Area Intelligent Vision Systems Department Safety & SecurityAustrian Institute of TechnologyAustria
  2. 2.Department of Software Technology and Interactive SystemsVienna University of TechnologyViennaAustria