This article presents a new segmentation method of complex postal envelopes by mixture approach combining the concepts of mathematical morphology and of co-occurrence matrix. Morphological segmentation techniques will assist to interpret the information generated by the co-occurrence matrix for extracting the contents of the brazilian postal envelopes. Very little a priori knowledge of the envelope images is required. The advantages of this approach will be described and illustrated with tests carried out on 250 different complex envelope images where there is no fixed position for the handwritten address block, postmarks and stamps.
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