Automatic License Number Plate Detection

Authors

  • Ayush Kumar Dubey B.Tech Student, KIIT University, Bhubaneswar, India.
  • Soumyajit Maity * B.Tech Student, KIIT University, Bhubaneswar, India.
  • Saswata Dey B.Tech Student, KIIT University, Bhubaneswar, India.
  • Parthiv Patnaik B.Tech Student, KIIT University, Bhubaneswar, India.

https://doi.org/10.22105/scfa.v2i3.65

Abstract

Automatic License Number Plate Detection (ALNPD) is a critical technology for identifying and processing vehicle registration numbers through image processing techniques. It finds extensive applications in traffic management, law enforcement, and automated toll collection systems. This paper presents an overview of ALNPD, highlighting its significance, methods, challenges, and emerging applications. It delves into the technical methodologies involved in detection, focusing on image preprocessing, localization, segmentation, and Optical Character Recognition (OCR). Furthermore, we discuss the challenges posed by varied lighting conditions, occlusion, and complex backgrounds while exploring future advancements and their potential impact on enhancing the robustness and accuracy of ALNPD systems.     

Keywords:

License plate detection, Image processing, Machine learning, Deep learning, Optical character recognition, Vehicle detection

References

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Published

2025-07-28

Issue

Vol. 2 No. 3 (2025): Soft Computing Fusion with Applications

Section

Articles

How to Cite

Automatic License Number Plate Detection. (2025). Soft Computing Fusion With Applications , 2(3), 146-156. https://doi.org/10.22105/scfa.v2i3.65

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