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This paper presents a new adaptive approach for the binarization and enhancement of historical and degraded documents. The proposed method is based on (i) efficient pre-processing; (ii) the combination of the results of several state-of-the-art binarization methodologies; (iii) the incorporation of edge information and (iv) the application of efficient image post-processing based on mathematical morphology for the enhancement of the final result. The proposed method demonstrated superiordoi:10.1109/das.2008.66 dblp:conf/das/GatosPP08 fatcat:2e6n6ylfq5bshcytv6pusc5chy