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Grid-Based Modelling and Correction of Arbitrarily Warped Historical Document Images for
 

Summary: Grid-Based Modelling and Correction of
Arbitrarily Warped Historical Document Images for
Large-Scale Digitisation
Po Yang, Apostolos Antonacopoulos, Christian Clausner and Stefan Pletschacher
Pattern Recognition and Image Analysis (PRImA) Research Lab
School of Computing, Science and Engineering, University of Salford, Greater Manchester, United Kingdom
http://www.primaresearch.org
This work was funded by the EU 7th
Framework Programme grant IMPACT (Ref: 215064).
ABSTRACT
Historical document images frequently show evidence of
geometric distortions mostly due to storage conditions (arbitrary
warping) but also due to the original printing process (non-
straight text lines), the use of the document (folds) and scanning
method (page curl). Correcting such distortions improves both
recognition rate and visual appearance (e.g. for easier human
reading or on-demand printing). However, the nature of the docu-
ments with layout irregularities and broken/touching characters of
archaic fonts poses significant challenges. In addition, for large-
scale digitisation of books and newspapers, methods need to be

  

Source: Antonacopoulos, Apostolos - School of Computing, Science and Engineering, University of Salford

 

Collections: Computer Technologies and Information Sciences