Open AccessA Broad Survey on Performance Analysis of Number Plate Recognition from Stationary Images and Video Sequences
Author(s) -
Tahir Abbas Khan,
J. S. Yadav,
Dheeraj Agarwal
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.10.15652
Subject(s) - computer science , character recognition , character (mathematics) , artificial intelligence , image processing , computer vision , perceptron , pattern recognition (psychology) , image (mathematics) , artificial neural network , mathematics , geometry
Licensed Number plate recognition plays vital role in smart cities for maintaining Law & Order and traffic management. NPR based system mainly involves four stages namely 1) Image capture & Pre-Processing 2) Number plate area determination 3) Character Segmentations 4) Recognition of all character. This survey paper extensively analyzed the method of extraction of number plate, its platform, performance and execution time. With the development of Multilayer Perceptron Network accuracy and time in image processing has been achieved up to a great instant. Hence this analysis will help the precise assessment in establishing research and enable developers to assess which strategies are aggressive in present environment.