IMAGE PROCESSING USING MACHINE LEARNING DATA SET FOR  LICENCE PLATE RECOGNITION

Arun Kalia, A J Singh

IMAGE PROCESSING USING MACHINE LEARNING DATA SET FOR LICENCE PLATE RECOGNITION

Authors

Arun Kalia, A J Singh

Keywords:

License Plate Recognition (LPR), Automatic Number Plate Recognition (ANPR), Machine Learning, Deep Learning, YOLOv5, CNN-OCR, Smart Traffic Systems

Abstract

Automatic License Plate Recognition (ALPR) is a key technology in smart trafficmanagement, law enforcement, and vehicle tracking systems. This research exploresYOLOv5 and Faster R-CNN for license plate detection

References

Li, X., Zhao, Y., & Chen, H. (2024). YOLOv8-LPR: Enhancing Small Object Detection for License Plate Recognition in Urban Environments. Journal of Computer Vision and Applications, 38(2), 145–161. https://doi.org/10.1016/j.jcva.2024.02.006

Chen, D., Wang, S., & Huang, F. (2024). Comparing Vision Transformer and CNN Approaches for License Plate Character Recognition. Pattern Recognition Letters, 181(5), 98–105. https://doi.org/10.1016/j.patrec.2024.03.014

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Published

2024-12-13

How to Cite

Arun Kalia, A J Singh. (2024). IMAGE PROCESSING USING MACHINE LEARNING DATA SET FOR LICENCE PLATE RECOGNITION. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 3086–3104. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2421