Automatic License Plate Recognition in Difficult Conditions - Technical Report
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801N2D" target="_blank" >RIV/61988987:17610/17:A1801N2D - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IFSA-SCIS.2017.8023337" target="_blank" >http://dx.doi.org/10.1109/IFSA-SCIS.2017.8023337</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IFSA-SCIS.2017.8023337" target="_blank" >10.1109/IFSA-SCIS.2017.8023337</a>
Alternative languages
Result language
angličtina
Original language name
Automatic License Plate Recognition in Difficult Conditions - Technical Report
Original language description
By a car license plate recognition, we mean a software system processing images and providing an alphanumeric transcription of car plates included in an image. We divide the task into four sub-tasks: license plate localization, license plate extraction, characters segmentation and characters recognition. All four sub-tasks are discussed in the context of standard approaches and own solution based on a chain of standard and soft computing image processing algorithms is presented. In this chain, the F-transform approximate pattern matching algorithm plays the crucial role. For the solution, we presented recognition ability for a dataset which includes 500 images with difficult conditions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
ISBN
978-150904917-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Otsu
Event date
Jun 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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