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This paper presents a document image processing system implemented on a set of parallel processors. A preprocessing stage is first used to correct skew from scanned document images. The corrected image is segmented and labelled in a two-step Minimum Containing Rectangle (MCR) detection stage. Text Block Filtering (TBF) is then done heuristically and the filtered blocks are submitted to a Multi-Layer Perceptron (MLP) for recognition of characters. Smoothing of the document image is done duringdoi:10.1109/hipc.1997.634542 dblp:conf/hipc/SuralD97 fatcat:h3kxphfhhrc4he3gwhzpr6vvwq