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Vehicle Number Recognition From Vehicle Images using CNN
Author(s) -
D. R. Krithika,
Manik Varma,
Y. Sukesh
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3678.049620
Subject(s) - computer science , computer vision , artificial intelligence , scope (computer science) , vehicle tracking system , tracking (education) , pattern recognition (psychology) , segmentation , psychology , pedagogy , programming language
Automatic vehicle number recognition is used to recognize the vehicle number plate from images of vehicles and also the number from the number plate. It plays an important role in some applications such as automated parking, over speed tracking of vehicles, road traffic monitoring and issuing fine for traffic rule violators. Several challenges like number obstruction, faded numbers, blurring, time consumption, etc. are involved in number recognition from real-time images. We survey the techniques that have been applied for this problem. We also provide a classification of the techniques which will be useful for researchers to identify research gaps in this area. Finally, we provide future scope for research in this area.

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