Comparison Methods for Object Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU84967" target="_blank" >RIV/00216305:26220/09:PU84967 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison Methods for Object Recognition
Original language description
This paper describes our new unpublished results and outputs of selected methods for object recognition. It is continued to our former research. We are focused to the identification with the aid of moments, with the aid of syntactical analysis and with the aid of neural network algorithms. Momentum method is very sensitive to entry image quality. Syntactic analysis is suitable for rotated objects, high-speed classification and for small changes in the segment edge. Neural network algorithms can be usedfor high-speed classification with randomly rotated objects and for some differences between learned etalons and classified objects.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F07%2F1503" target="_blank" >GA102/07/1503: Advanced Optimizing the Design of Communication Systems via neural networks</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 13th WSEAS International Conference on Systems
ISBN
978-960-474-097-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
WSEAS
Place of publication
Rhodos, Greece
Event location
Rhodos
Event date
Jul 22, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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