Correlation Methods of OCR Algorithm for Traffic Sign Detection Implementable in Microcontrollers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089199" target="_blank" >RIV/61989100:27240/13:86089199 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33018-6" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33018-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33018-6" target="_blank" >10.1007/978-3-642-33018-6</a>
Alternative languages
Result language
angličtina
Original language name
Correlation Methods of OCR Algorithm for Traffic Sign Detection Implementable in Microcontrollers
Original language description
This paper focuses on the correlation methods applicable for the recognition system of speed limit traffic signs and correlation methods comparison. The correlation method is one possible manner of the OCR algorithm (Optical Character Recognition) used to determine the degree of similarity between the input matrix and the defined pattern matrix. The presented correlation methods are verified using the proposed comparison algorithm, where the output data are evaluated by statistical methods of the exploratory statistic data analysis. The part of the recognition system for OCR algorithm proceeds is very time consuming and the limitation of microcontroller type depends on frequency instruction processing. High accuracy of the recognition system can be achieved by increasing the resolution of camera system, by segmentation methods of input image signal, correlation method type.
Czech name
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Czech description
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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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 189
ISBN
978-3-642-33017-9
ISSN
2194-5357
e-ISSN
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Number of pages
8
Pages from-to
381-389
Publisher name
Springer
Place of publication
Basel
Event location
Ostrava
Event date
Sep 5, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312969500039