License Plate Recognition

Automatic recognition of license plate has turned very important in our day by day life as a result of the significant rise in the traffic and vehicles on road and the extensive transportation mechanism makes it impossible to be totally noticeable and monitor-able by humans. Examples are such a significant number of like traffic checking, following stolen automobiles, overseeing stopping toll, red-light infringement authorization, outskirt and tradition checkpoints. However, it's an exceptional testing issue, because of the decent variety of license plate groups, various scales, turns and nonuniform brightening conditions during picture procurement. This paper essentially presents an Automatically Recognizing License Plates (ANPR) which having a trained system for detecting a number plate if any, and then optically recognize the text, that is number written on the plate after pre-processing the image with certain thresholding techniques.

Suggested Citation: Suggested Citation

Bohra, Navdeep and Rishabh, Rishabh and Lather, Mallika and Chawla, Nikunj and Kumari, Ashish, License Plate Recognition (April 1, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3565913 or http://dx.doi.org/10.2139/ssrn.3565913