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Preprocessing and postprocessing steps significantly improve the performance of binarization methods, especially in the case of severely-degraded historical documents. In this paper, an unsupervised postprocessing method is introduced based on the phase-preserved denoised image and also phase congruency features extracted from the input image. The core of the method consists of two robust mask images that can be used to cross out false positive pixels on the output of the binarization method.doi:10.1109/icdar.2013.51 dblp:conf/icdar/NafchiMC13 fatcat:sb7hydljajgizczhb5as7xv5nq