License Plate Character Segmentation Usint Hidden Markov Chains
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03112556" target="_blank" >RIV/68407700:21230/05:03112556 - 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
License Plate Character Segmentation Usint Hidden Markov Chains
Original language description
We propose a method for segmentation of a line of character in a noisy lov resolution image of a ca license plate. The Hidden Markov Chains are used to model a stochastic relation between an input image and a corresponding character segmentation. The segmentation problem is sxpressed as the maximum a posterionri estimation from set of admissible segmentations.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F03%2F0440" target="_blank" >GA102/03/0440: Recognizing human activities for automated video surveillance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DAGM 2005: Proceedings of the 27th DAGM Symposium
ISBN
3-540-28703-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
385-392
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Vienna
Event date
Aug 30, 2005
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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