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Use of Mathematical Morphology in Vehicle Plate Detection


Affiliations
1 Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, Oman
 

In the past couple of decades, the number of vehicles has increased radically. A statistic which presents the number of cars sold worldwide from 1990 through 2017, forecasts for 2018, some 81.6 million automobiles are expected to be sold by the end 2018. With this continuous increase, it is becoming very tedious to keep track of each vehicle for the purpose of security, law enforcement and traffic management. This phenomenon of rapidly increasing vehicles on the road highlights the importance for a vehicle number plate recognition system. By recognizing the car plates, the drivers of the vehicle can be identified from the database. Number plate detection system are used in various applications like traffic law maintenance, traffic control, automatic toll collection, parking systems, automatic gate openers. This paper presents a unique algorithmic procedure for detecting vehicle plate number which is based on the concept of mathematical morphology. The developed algorithm is simple, efficient and flexible. The algorithm is capable of working satisfactorily even in different constraints such as like rain, smoke and shadow. This user-friendly software tool is developed on MATLAB platform which is one of the common and efficient image processing analysis tools.

Keywords

Image Processing, Mathematical Morphology, Set Theory, Vehicle Number Plate Recognition, Algorithm, MATLAB.
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  • Sushama, H. B.; Gadicha, A. B. A review paper on Vehicle Number Plate Recognition (VNPR) using improved character segmentation method, International Journal of Scientific and Research Publications, Volume 3 (12), 2013, pp.1–2.

  • Amar, B.; Mohammed, M. A.; Ahmed, M. T.; Ahmed, M. A. Automatic number plate recognition system, Annals of the University of Craiova, Mathematics and Computer Science Series, Volume 38 (1), 2011pp. 62–71.

  • Cris, L.; Structure Characterization Using Mathematical Morphology, Project Report, Delft University of Technology, January 2004.

  • Sreedhar, K.; Panlal, B. Enhancement of images using morphological transformations, International Journal of Computer Science & Information Technology, Volume 4 (1), 2012, pp. 33-50.

  • Mugdha, A. R.; Fast Morphological Image Processing on GPU Using CUDA, College of Engineering, Pune, Dissertation 2013.

  • Vakken, Chapter 6, Mathematical Morphology, pp. 121-162.(Accessed on December 16, 2018) http://www.cs.uu.nl/docs/vakken/ibv/reader/chapter6.pdf

  • Owens, R. Mathematical morphology, computer vision lectures. (Accessed on December 16, 2018) http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT3/node3.html

  • Sai, K. P. Automatic number plate recognition by using MATLAB, International Journal of Innovative Research in Electronics and Communications, Volume 2 (4), 2015, pp. 1-7.

  • Jayanta, K. B.; Debnath, B.; Tai-hoon, K. Use of artificial neural network in pattern recognition, International Journal of Software Engineering and Its Applications, Volume 4 (2), 2010, pp. 23-34.

  • Mohammed, A. Q. Template matching method for recognition musnad characters based on correlation analysis, Department of Computer Science, Amran University, Yemen. (Accessed on December 16, 2018) https://repository.nauss.edu.sa/bitstream/handle/123456789/55486/Template%20Matching%20Method%20for%20Recognition%20Musnad%20Characters%20Based%20on%20Correlation%20Analysis.pdf?sequence=1&isAllowed=y

  • Muhammad, F. H.; Puteh, S.; Mohammad, R. M. J.; Shahrul, N. Y. A Face recognition system using template matching and neural network classifier, In Proceedings: 1st International Workshop on Artificial Life and Robotics, Kolej Universiti Kejuruteraan Utara Malaysia, 2005, pp. 1-6. ISBN: 9834272413, 9789834272418.

  • Neeraja, M.; Afaq A.; Amir, A.; Muhammed A.; Lazhar K.; Samir A. A brief description of pattern recognition techniques, Imperial Journal of Interdisciplinary Research, Volume 2 (8), 2016, pp. 717-72.


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  • Use of Mathematical Morphology in Vehicle Plate Detection

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Authors

Neeraja Mohanan
Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, Oman
Afaq Ahmad
Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, Oman
Sayyid Samir Al-Busaidi
Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, Oman
Lazhar Khiriji Amir Abdulghani
Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, Oman
Muhammad Al Nadabi
Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, Oman

Abstract


In the past couple of decades, the number of vehicles has increased radically. A statistic which presents the number of cars sold worldwide from 1990 through 2017, forecasts for 2018, some 81.6 million automobiles are expected to be sold by the end 2018. With this continuous increase, it is becoming very tedious to keep track of each vehicle for the purpose of security, law enforcement and traffic management. This phenomenon of rapidly increasing vehicles on the road highlights the importance for a vehicle number plate recognition system. By recognizing the car plates, the drivers of the vehicle can be identified from the database. Number plate detection system are used in various applications like traffic law maintenance, traffic control, automatic toll collection, parking systems, automatic gate openers. This paper presents a unique algorithmic procedure for detecting vehicle plate number which is based on the concept of mathematical morphology. The developed algorithm is simple, efficient and flexible. The algorithm is capable of working satisfactorily even in different constraints such as like rain, smoke and shadow. This user-friendly software tool is developed on MATLAB platform which is one of the common and efficient image processing analysis tools.

Keywords


Image Processing, Mathematical Morphology, Set Theory, Vehicle Number Plate Recognition, Algorithm, MATLAB.

References





DOI: https://doi.org/10.13005/ojcst11.04.04