Designing and Evaluating a Hybrid Framework for Improved Accuracy and Efficiency in Indian License Plate Recognition

Authors

  • Lokesh M. C., Navin Kumar

Keywords:

License Plate Recognition, Hybrid Framework, Image Pre-processing, CNN, Intelligent Transportation.

Abstract

Indian license plate recognition (LPR) platforms are required for traffic monitoring, law enforcement and smart transport. Although, things are hard to identify correctly because of problems like unconventional plates, different fonts, alterations to lighting, and blurred movements. This study presents a hybrid architecture that integrates conventional image processing methods with deep learning models to enhance precision and efficacy. Adaptive pre-processing to minimize architectural intervention encompassed morphological operations for distinct objects and a CNN-based recognizing model trained on an extensive, diverse dataset. Experimental testing shows that both detection and recognition rate are much better than with traditional OCRs and SVM techniques. In difficult conditions, the overall accuracy was 96.5%. The conclusions indicate that hybrid implementation guarantees adaptability, flexibility, and real-time efficiency, rendering it appropriate for intelligent transportation systems in India. Future studies will look into using the most advanced technologies to come to quick recommendations and carry out plans at a low cost.

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References

Sharma, N., Haq, M. A., Dahiya, P. K., Marwah, B. R., Lalit, R., Mittal, N., & Keshta, I. (2023). Deep Learning and SVM-Based Approach for Indian Licence Plate Character Recognition. Computers, Materials & Continua, 74(1).

Gaikwad, N., kumar Budania, R., Deshpande, S., & Parvati, P. Smart Video Number Plate Character Recognition and Speed measurement using Hybrid Optimization-based Yolo-NAS. Smart Video Number Plate Character Recognition and Speed measurement using Hybrid Optimization-based Yolo-NAS.

Jawale, M. A., William, P., Pawar, A. B., & Marriwala, N. (2023). Implementation of number plate detection system for vehicle registration using IOT and recognition using CNN. Measurement: Sensors, 27, 100761.

Mhatre, A., & Sharma, P. (2023). Deep learning approach for vehicle number plate recognition system with image enhancement technique. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 251-262.

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Published

26.01.2023

How to Cite

Lokesh M. C. (2023). Designing and Evaluating a Hybrid Framework for Improved Accuracy and Efficiency in Indian License Plate Recognition. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 271–274. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7902

Issue

Vol. 11 No. 1s (2023): Advances and Innovations in Deep Learning Applications

Section

Research Article

License

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