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

M. Z. 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.