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Proceedings Paper

Morphological postal envelope segmentation by co-occurrence matrix
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Paper Abstract

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.

Paper Details

Date Published: 13 January 2003
PDF: 11 pages
Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); doi: 10.1117/12.476055
Show Author Affiliations
Jacques Facon, Pontificia Univ. Catolica do Parana (Brazil)
Eduardo Akira Yonekura, Pontificia Univ. Catolica do Parana (Brazil)


Published in SPIE Proceedings Vol. 5010:
Document Recognition and Retrieval X
Tapas Kanungo; Elisa H. Barney Smith; Jianying Hu; Paul B. Kantor, Editor(s)

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