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Vehicle License Plate Detection and Recognition System

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Poonam Bhogale, Archit Save, Vitrag Jain, Saurabh Parekh
10.5120/ijca2016908924

Poonam Bhogale, Archit Save, Vitrag Jain and Saurabh Parekh. Article: Vehicle License Plate Detection and Recognition System. International Journal of Computer Applications 137(9):31-34, March 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Poonam Bhogale and Archit Save and Vitrag Jain and Saurabh Parekh},
	title = {Article: Vehicle License Plate Detection and Recognition System},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {137},
	number = {9},
	pages = {31-34},
	month = {March},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

This is a survey paper on the Vehicle License Plate Detection and Recognition System. This system works in five phases. The first phase is the input given to the system which is an image of the vehicle with clearly visible license plate. The second phase is the localization of the license plate from the image. The third phase is the segmentation of the characters in the localized license plate. In the fourth phase the segmented characters are recognized using Artificial Neural Networks. In the fifth and final phase these recognized characters are stored in a database for further reference.

References

  1. Eva Volna, Martin Kotyrba, “Vision System for License Plate Recognition based on Neural Networks”, IEEE, 2013.
  2. Fajas F, Farhan Yousuf, Remya P.R. “Automatic Number Plate Recognition for Indian Standard Number Plates”, IEEE First Workshop on Emerging Technologies and Devices in Signal Processing, 2012.
  3. Hanit Karwal, Akshay Girdhar, “Vehicle Number Plate Detection System for Indian Vehicles”, IEEE International Conference on Computational Intelligence & Communication Technology, 2015.
  4. Jitendra Sharma and Amit Mishra and Khushboo Saxena “A Hybrid Technique for License Plate Recognition Based on Feature Selection of Wavelet Transform and Artificial Neural Network”, IEEE International Conference on Reliability, Optimization and Information Technology, 2014.
  5. Priyanka Prabhakar, Anupama P, Resmi S R, “Automatic Vehicle Number Plate Detection and Recognition”, IEEE International Conference on Control, Instrumentation, Communication and Computational Technologies, 2014.
  6. Dinesh Dileep, “A Feature Extraction Technique Based on Character Geometry for Character Recognition”, arXiv, 2012.
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  8. http://hubpages.com/technology/Artificial-Neural-Network, Author: Ansonabey, Computer Engineer, Bangalore, India
  9. http://www.tribalengineering.com/technology/artificial-neural-ictl.aspx.

Keywords

Artificial Neural Networks, database, histogram, region splitting, Vehicle License Plate Detection and Recognition System