Number Plate Detection and Recognition Using Python

Authors

  • Anand G  Department of Automobile Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India

Keywords:

Python, Penultimate, Utility, Display

Abstract

Over the past two decades, the automobile industry has made large strides in embodying technological advancements in its environment. We know see smarter vehicles on road that facilitates for efficient communication with humans. The automobile we own now is capable of providing statistical analysis of the usage associated with it. With technological concepts revolving around machine learning, artificial recognition and data analytics, we see that the advancements taking birth in the automobile sector is making it a very promising industry for automobile aspirants. To be a part of this technological marathon that is running across the world, we aim to deliver a simple yet efficient method of handling the data of numerous vehicles that enter and exit a particular location. The data that is linked to such a scenario is large and can be tedious to work with, if done manually. Adding to this, it does not provide a reliable source for working on, as data that is handled manually can be redundant and inaccurate. We use the python programming language that has shown to be the face of much advancement to solve this issue. With python and its packages, we can now detect the number on the number plate and store it in a database, that is easily accessible and functions can be performed on it with ease. A CCTV can aid us in capturing the front/back portion of the automobile where the number plate is attached to it. This image is now sent to an environment in python for image filtration techniques that processes the image to an extent where it filters out all the contours except our number plate. The string on the number plate can now be recognized by the software and is stored in a database with the additional information on when and what time the automobile entered/exited a particular location.

References

  1. https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/the- future-of-mobility-in-indias-passenger-vehicle-market
  2. “Python programming- Application” -Kalyani Adwakar, Special Issue SIEICON-2017, April -2017
  3. “ Detection and Recognition in Python Programming Language”- Boris Kuster, Proceedings of The Seventh International Conference on Informatics and Applications (ICIA2018), Japan, 2018
  4. “An Overview of the Tesseract OCR Engine”- Ray smith, Google Inc, 2017

Downloads

Published

2020-12-15

Issue

Section

Research Articles

How to Cite

[1]
Anand G, " Number Plate Detection and Recognition Using Python, IInternational Journal of Scientific Research in Mechanical and Materials Engineering(IJSRMME), ISSN : 2456-3307, Volume 4, Issue 7, pp.63-66, November-December-2020.