License Plate Recognition Based On Probabilistic Neural Network

Authors

  • N. Sangeetha  Department of IT, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India
  • Dr. A. Anitha  Professor, Department of IT, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India

Keywords:

Probabilistic Neural Network classifier, Gabor filter, Fuzzy C

Abstract

This project presents a novel image processing system for Indian number plate detection and recognition that can deal with, noisy, low illuminated, cross angled, non-standard font number plates. This work employs several image processing techniques such as, morphological transformation, Gabor smoothing, and Gabor thresholding in the pre-processing stage. Next, for number plate segmentation, contours are applied by border following and contours are filtered based on character dimensions and spatial localization. Finally, after the region of interest filtering and Probabilistic neural Network algorithm is used for character recognition. The proposed methods demonstrated promising results using Matlab software.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
N. Sangeetha, Dr. A. Anitha, " License Plate Recognition Based On Probabilistic Neural Network, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.274-277, March-April-2021.