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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 5, ISSUE 4, APRIL 2016

A Review of Adaptive Thresholding Techniques for Vehicle Number Plate Recognition

Sakhare Varsha Dnyandeo, Prof. Mrs. R.S. Nipanikar

DOI: 10.17148/IJARCCE.2016.54232

Abstract: Automatic vehicle number plate recognition is a challenging task and becoming important area of research due to its difficult applications such as Traffic data collection, toll collection, crime prevention and security control of restricted areas. Therefore in the last few decades many efforts were taken by researchers to develop different techniques for thresholding and segmentation of the vehicle number plate. This review presents many basic and advanced adaptive thresholding techniques for automatic vehicle number plate recognition.



Keywords: Adaptive thresholding, Integral image, mean, median, Gaussian filter.

How to Cite:

[1] Sakhare Varsha Dnyandeo, Prof. Mrs. R.S. Nipanikar, “A Review of Adaptive Thresholding Techniques for Vehicle Number Plate Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54232