Author : Mugdha Gokhale 1
Date of Publication :19th August 2021
Abstract: An increasing demand for transport systems has made the world a better marketplace. But with the increasing number of vehicles, management of transport services has become tedious. Unsaved information about the vehicle and its owner tends to create ambiguity errors and encourages malpractices. To avoid such scenarios, techniques like ‘Automatic License Plate Recognition’ are used. Several number plates are pre stored in the system. The other number plates which do not match the system’s database will be denied entry. Emerging technologies such as Computer Vision, play a very central role in such systems. OCR technique is used to convert images to characters and results are further saved for verification. These systems have a wide application in parking management systems, traffic control systems and theft recovery systems
Reference :
-
- Suk-Hwan Suh; Seong Kyoon Kang; Dae-Hyuk Chung; Ian Stroud (22 August 2008). Theory and Design of CNC Systems. Springer Science & Business Media. pp. 11–. ISBN 978-1-84800-336- 1. Archived from the original on 21 March 2017.
- Adrian Rosebrock “Text Skew Correction with OpenCV and Python”.
- https://www.pyimagesearch.com/2017/02/20/textskew-correction-opencv-python
- Leticia Fernandez Sanchez, Cranfield university, “Automatic number plate recognition System using machine learning techniques”, PHD Thesis, Cranfield university, 2017-18.
- Quiros,A.R.F.,Bedruz,R.A.,Uy,A.C.,Abad,A.,Bandal a,A.,Dadios,E.P.,Salle, D.L.(2017),”A KNN-based approach for the machine vision of character recognition of license plate numbers”, TENCON 2017 - 2017 IEEE Region 10 Conference
- Thangallapally,S.K.,Maripeddi,R.,Banoth,V.K.,Nave en,C.,&Satpute,V. R.(2018).”E- Security System for Vehicle Number Tracking at Parking Lot”,(Application for VNIT Gate Security). 2018 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS).