Document Image Dewarping Contest

Faisal Shafait, Thomas Breuel

In: K. Kise , D.S. Doerrmann (Hrsg.). 2nd Int. Workshop on Camera-Based Document Analysis and Recognition (CBDAR-2007), September 22, Curitiba, Brazil. International Workshop on Camera-Based Document Analysis and Recognition (CBDAR) Seiten 181-188 Online-Proceedings 9/2007.


Dewarping of documents captured with hand-held cameras in an uncontrolled environment has triggered a lot of interest in the scientific community over the last few years and many approaches have been proposed. However, there has been no comparative evaluation of different dewarping techniques so far. In an attempt to fill this gap, we have organized a page dewarping contest along with CBDAR 2007. We have created a dataset of 102 documents captured with a hand-held camera and have made it freely available online. We have prepared text-line, text-zone, and ASCII text ground-truth for the documents in this dataset. Three groups participated in the contest with their methods. In this paper we present an overview of the approaches that the participants used, the evaluation measure, and the dataset used in the contest. We report the performance of all participating methods. The evaluation shows that none of the participating methods was statistically significantly better than any other participating method.

didcontest.pdf (pdf, 2 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence