• Ravindra Shelkikar
• Shekhar Jagade

License plate detection and segmentation system has become a crucial role in the development of smart cities for vehicle management, investigation of stolen vehicles, and traffic monitoring and control. License plate detection and segmentation system has five stages, including license plate localization, character segmentation, and character recognition. Although the license plate recognition system has been successfully applied to the environment-controlled smart parking system, it still faces many challenging in the surveillance system such as congested traffic with multiple plates, ambiguous signs and advertisements, tilting plates, as well as obscure images taken in bad weather and nighttime. This paper proposes an algorithm to detect license plate region and edge processing both vertically and horizontally to improve the performance of the systems for high speed applications. Throughout the detection and recognition the original images are detected, filtered both vertically and horizontally, and threshold based on bounding box method. The system develops by using MATLAB13 a.

Keywords: Number plate localization, Morphological operation, noise reduction, Character segmentation, segmentation, license plate detection.

"License Plate Detection and Segmentation: An Encircling Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.413-417, June 2019, Available :http://www.jetir.org/papers/JETIR1907E60.pdf

"License Plate Detection and Segmentation: An Encircling Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp413-417, June 2019, Available at : http://www.jetir.org/papers/JETIR1907E60.pdf