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Issue:Generalized nets in image processing and pattern recognition: Difference between revisions

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Revision as of 20:39, 3 June 2009

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Title of paper: Generalized nets in image processing and pattern recognition
Author(s):
Krassimir Atanassov
CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
krat@bas.bg
Georgi Gluhchev
Institute of Information Technologies, Bulg. Acad. of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia-1113, Bulgaria
gluhchev@iinf.bas.bg
Stefan Hadjitodorov
CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
sthadj@argo.bas.bg
Anthony Shannon
KvB Institute of Technology, North Sydney, 2060, Australia
Warrane College, University of New South Wales, Kensington, 1465, Australia
tony@kvb.edu.au , tony@warrane.unsw.edu.au
Vasil Vasilev
Institute of Information Technologies, Bulg. Acad. of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia-1113, Bulgaria
vasco@iinf.bas.bg
Presented at: 6th International Workshop on Generalized Nets. Sofia, 17 December 2005
Published in: Conference proceedings, pages 47-60
Download:  PDF (242  Kb, File info)
Abstract: Generalized Nets (GNs) are extensions of Petri nets and their other extensions and modifications. A lot of research was carried out in the last 15 years to show the possibilities for the representation by GNs of different objects from the area of Artificial Intelligence. In a series of papers they were used for modelling in image processing. The possibilities of the GNs as a tool for modelling in this area are presented and an example of a GN-model of a writer identification system is given.
Keywords: Generalized nets, Image processing, Pattern recognition
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