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Identification of areas corresponding to text in document images is an important step for a character recognition system. We briefly review a technique for automatic design of binary morphological operators and show its application to the segmentation of text areas from document page images. We also present an heuristic filter used to refine the segmentation results. Results obtained for two different sets of images are shown.