Vehicle Number Plate Identification Using a Bi-Step Region Segmentation and Classification Technique

Raja Mursleen Bhat; Ravinder Pal Singh; Jasmeen Gill; Dr. Monika Mehra

doi:10.55524/ijircst.2023.11.1.15

Abstract

Vehicle number plate identification (VNPI) is an imperative task for resolving the increasing traffic issues around the world. Although many studies were conducted in the past, there are still many challenges to be answered where noisy image acquisition conditions, improper illumination or poor quality images, are a few to name. In the light of the same, an efficient vehicle number plate classification model is the need of the hour. Since, image processing techniques are best suited for resolving the problems of noisy dataset; these are used for noise elimination, image segmentation, feature extraction, and classification purposes in this research. So, in this article, a two-step approach, using region based segmentation and feature extraction to feed as input to the system for classifying the vehicle number plates, has been designed. The proposed bi-step VNPI model very well extracted the segments around the characters with extraction rate of 96.69% and recognition rate of 95.34%. Experimental results show that the proposed technique is simple and robust. The results are comparable with the results of the state-of-art methods available in the literature.

Keywords

Vehicle Number Plate Identification; Region-Based Segmentation; Noise Elimination; Alpha-Numerals; Pattern Recognition

References

Anagnostopoulos, Christos-Nikolaos E., et al. "License plate recognition from still images and video sequences: A survey." Intelligent Transportation Systems, IEEE Transactions on 9.3: 377-391, 2008.
Lotufo, J. A., Morgan R.A., et al., “Automatic number-plate recognition,” Image Analysis of Transport Applications, pp. 6/1–6/1, 1990.
Muzammil, Muhammad Junaid, and Syed Ali Raza Zaidi. "Application of image processing techniques for the extraction of vehicle number plates over ARM target board." Computer, Control & Communication (IC4), 3rd International Conference on IEEE, 2013.
Sarfraz, M. S. Shahzad, A., Elahi, M. A., Fraz, M., Zafar, I., and Edirisinghe, E. A., “Real-time automatic license plate recognition for cctv forensic applications,” Journal of real-time image processing, vol. 8, no. 3, pp. 285– 295, 2013.
Parasuraman K. and Kumar, P. V. “An efficient method for Indian vehicle license plate extraction and character segmentation,” in IEEE International Conference on Computational Intelligence and Computing Research, pp. 1475–1477, 2010.
Gill, J. and Singh, R., 2022, “Non-invasive Mango (L. Mangifera Indica) Fruit Grading and Sorting using AntLion based Artificial Neural Networks”, International Journal of Image and Graphics, 2022, https://doi.org/10.1142/S0219467823500407.
Ozturk¨ F. and Ozen, F. “A new license plate recognition system based on probabilistic neural networks,” Procedia Technology, vol. 1, pp. 124–128, 2012.

Cites this article as

R. M. Bhat, R. P. Singh, J. Gill, D. M. Mehra, "Vehicle Number Plate Identification Using a Bi-Step Region Segmentation and Classification Technique", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-11, Issue-1, Page No-73-77, 2023. Available from: https://doi.org/10.55524/ijircst.2023.11.1.15

Corresponding Author

Raja Mursleen Bhat

Research Scholar, Department of Research, Innovations and Incubation, RIMT University, Punjab, India

Download Full Paper

Download PDF

No. of Downloads: 41 | No. of Views: 1046

Verification of UART and I2C Protocols Using System Verilog

Dr. Ch. Manohar Kumar, Mr. G. Mahesh Babu, Mr. A. Hemanth Chakradhar, Mr. A.S.K. Pranav, Mr. D. Sudheer, Mr. U. Alex Prince.

March 2023 - Vol 11, Issue 2
A Hybrid Approach for Optimized Resource Allocation in a Deployed 4G Long Term Evolution (LTE) Network

Bisma, Ravinder Pal Singh, Jasmeen Gill, Dr. Monika Mehra.

January 2023 - Vol 11, Issue 1
A Compact 4 Port MIMO Diversified Antenna for X-Band Applications

M. Rajasekhar, S.CH. Kantha Rao, B. S. Ganesh.

November 2022 - Vol 10, Issue 6

Vehicle Number Plate Identification Using a Bi-Step Region Segmentation and Classification Technique

Citations

Download Full Paper PDF

Total View 1046

Total Download 41