Title :
Majority voting approach and fuzzy logic rules in license plate recognition process
Author :
Kassymkhanova, Dana ; Kurochkin, Dmitriy ; Denissova, Natalya ; Kumargazhanova, Saule ; Tlebaldinova, Aizhan
Author_Institution :
D. Serikbayev EKSTU, Oskemen, Kazakhstan
Abstract :
This article discusses common approaches to the development of ANPR systems. The main idea of the article is the parallel use of several different classifiers for OCR and fusion of obtained data for improving the recognition accuracy.
Keywords :
fuzzy logic; image classification; image fusion; optical character recognition; ANPR systems; OCR; automatic number plate recognition; classifiers; data fusion; fuzzy logic rules; license plate recognition process; majority voting approach; optical character recognition; Accuracy; Cameras; Character recognition; Feature extraction; Licenses; Optical character recognition software; Support vector machine classification; ANPR; OCR; classification; feature extraction;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
DOI :
10.1109/ICAICT.2014.7035933
