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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 1, JANUARY 2018

Comparative Study on Effective Approaches of Automatic Number Plate Recognition

T.Balamani, Dr.V.Kavitha

DOI: 10.17148/IJARCCE.2018.718

Abstract: Programmed distinguishing proof of vehicle turns out to be more functional in numerous applications with the quick improvement of an open transportation system. The system consequently recognizes a vehicle by perusing the number plate information from a picture or a video. The Automatic number plate recognition system is utilized to distinguish the number plate under different perilous conditions like stormy, foggy climate impacts, low differentiation situations, objects like the number plate out of sight, and on a level plane tilted number plate. Diverse image processing methodologies, strategies, and calculations are utilized to construct programmed number plate recognition system technique to identify a number plate range from a picture or a video.



Keywords: Number plate, character recognition, number plate identification, image processing, classification, Template matching.

How to Cite:

[1] T.Balamani, Dr.V.Kavitha, “Comparative Study on Effective Approaches of Automatic Number Plate Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.718