License number plate recognition system using entropy-based features selection approach with SVM (Englisch)
Freier Zugriff
- Neue Suche nach: Khan, Muhammad Attique
- Neue Suche nach: Sharif, Muhammad
- Neue Suche nach: Javed, Muhammad Younus
- Neue Suche nach: Akram, Tallha
- Neue Suche nach: Yasmin, Mussarat
- Neue Suche nach: Saba, Tanzila
- Neue Suche nach: Khan, Muhammad Attique
- Neue Suche nach: Sharif, Muhammad
- Neue Suche nach: Javed, Muhammad Younus
- Neue Suche nach: Akram, Tallha
- Neue Suche nach: Yasmin, Mussarat
- Neue Suche nach: Saba, Tanzila
In:
IET Image Processing
;
12
, 2
;
200-209
;
2017
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:License number plate recognition system using entropy-based features selection approach with SVM
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Beteiligte:Khan, Muhammad Attique ( Autor:in ) / Sharif, Muhammad ( Autor:in ) / Javed, Muhammad Younus ( Autor:in ) / Akram, Tallha ( Autor:in ) / Yasmin, Mussarat ( Autor:in ) / Saba, Tanzila ( Autor:in )
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Erschienen in:IET Image Processing ; 12, 2 ; 200-209
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:08.11.2017
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Format / Umfang:10 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:geometric features , feature selection , SVM , CIE-Lab colour space , binary segmentation , image fusion , street activity monitoring , entropy-based features selection approach , security applications , image refinement , road traffic monitoring , image segmentation , feature extraction , image colour analysis , feature classification , image classification , luminance channel selection , support vector machine , support vector machines , entropy , potential threat identification , multiple feature fusion , HOG fusion , license number plate recognition system , multiple feature extraction , LPR system , traffic engineering computing , performance measures
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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