Paper
13 January 2003 Morphological postal envelope segmentation by co-occurrence matrix
Author Affiliations +
Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.476055
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacques Facon and Eduardo Akira Yonekura "Morphological postal envelope segmentation by co-occurrence matrix", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.476055
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KEYWORDS
Image segmentation

Mathematical morphology

Reconstruction algorithms

Image processing

Binary data

Optical character recognition

Visualization

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