Robust Stereo Matching for Document Images Using Parameter Selection of Text-Line Ex- traction

Muhammad Zeshan Afzal, Syed Saqib Bukhari, Martin Krämer, Faisal Shafait, Thomas Breuel

In: 21st International Conference on Pattern Recognition, ICPR’12, Japan, November 2012.. International Conference on Pattern Recognition (ICPR-2012) November 11-15 Tsukuba Science City Japan IEEE 2012.


In this paper we present a novel method for automatic text-line parameter selection for stereo image pairs. The parameters are selected such that correspondence between the same content in a stereo pair is maximized. Automatic parameter selection has been carried out by establishing robust text-line correspondence which is also a contribution of the presented work. The proposed method is applied to one text-line extraction algorithm as a proof of concept. The results are compared with the ground truth to show the validity of the method.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence