Detection of Deformed Number Plates in Natural Scene Images

Authors

  • Manasa C Department of Information Science and Engineering, Global Academy of Technology, VTU, Bengaluru, Karnataka
  • Pooja N Department of Information Science and Engineering, Global Academy of Technology, VTU, Bengaluru, Karnataka
  • Sushmitha Department of Information Science and Engineering, Global Academy of Technology, VTU, Bengaluru, Karnataka
  • Monisha R Department of Information Science and Engineering, Global Academy of Technology, VTU, Bengaluru, Karnataka
  • Deepika C Department of Information Science and Engineering, Global Academy of Technology, VTU, Bengaluru, Karnataka

DOI:

https://doi.org/10.26438/ijcse/v9i8.3033

Keywords:

MATLAB, preprocessing, character reconstruction and segmentation,, character recognition, Template matching

Abstract

Automatic license plate detection is one of the most common video analytics. Existing system fails if the license plate is deformed (broken or blurred). The main cause for the deformation of the number plate is when the vehicle met with an accident or whenever car robbery takes place. Recognizing various disfigured numbers on deformed number plates has been one of the challenging issue in the field of research. This paper concentrates on deformed number plate detection and recognition. Here MATLAB software is used to extract the alphanumeric values which is deformed. Template matching being the oldest method has been used to recognize the alphanumeric values. Our algorithm has been applied on various types of number plates and achieved an accuracy of 78% for the deformed number plates. This study has importance in various real world applications like traffic control, toll control or parking lot access.

References

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Published

2021-08-30
CITATION
DOI: 10.26438/ijcse/v9i8.3033
Published: 2021-08-30

How to Cite

[1]
C. Manasa, N. Pooja, S. S, R. Monisha, and C. Deepika, “Detection of Deformed Number Plates in Natural Scene Images”, Int. J. Comp. Sci. Eng., vol. 9, no. 8, pp. 30–33, Aug. 2021.

Issue

Vol. 9 No. 8 (2021): IJCSE August Edition

Section

Research Article

License

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