8-9 October 2020 • Burgas, Bulgaria

Submission: 15 May 2020 • Notification: 31 May 2020 • Final Version: 15 June 2020

Issue:Generalized nets in image processing and pattern recognition

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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
kratAt sign.pngbas.bg
Georgi Gluhchev
Institute of Information Technologies, Bulg. Acad. of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia-1113, Bulgaria
gluhchevAt sign.pngiinf.bas.bg
Stefan Hadjitodorov
CLBME-Bulgarian Academy of Sciences, P.O. Box 12, Sofia-1113, Bulgaria
sthadjAt sign.pngargo.bas.bg
Anthony Shannon
KvB Institute of Technology, North Sydney, 2060, Australia
Warrane College, University of New South Wales, Kensington, 1465, Australia
t.shannonAt sign.pngwarrane.unsw.edu.au
Vasil Vasilev
Institute of Information Technologies, Bulg. Acad. of Sciences, Acad. G. Bonchev Str., Bl. 29A, Sofia-1113, Bulgaria
vascoAt sign.pngiinf.bas.bg
Presented at: 6th International Workshop on Generalized Nets. Sofia, 17 December 2005
Published in: Conference proceedings, pages 47-60
Download: Download-icon.png PDF (242  Kb, Info) Download-icon.png
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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