Quality assurance for document image collections in digital preservation

Authors:
Reinhold Huber-Mörk;Alexander Schindler
Affiliations:
Research Area Intelligent Vision Systems Department Safety & Security, Austrian Institute of Technology, Austria;Research Area Intelligent Vision Systems Department Safety & Security, Austrian Institute of Technology, Austria, Department of Software Technology and Interactive Systems, Vienna University o ...
Venue:
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2012

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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.