• Poojitha P
• Prathima M N

Vehicle License Plate Recognition System (VLPR) is the system which recognizes the License Plate. In recognizing the license plate, system undergoes several processes like License plate localization, license plate detection, segmentation of characters which is present on the license plate and finally recognition of characters is done. In today’s world, like as we know as the population is increasing and number of vehicles that too mainly number of cars are rapidly increasing. Because of this it is difficult to note down the license plate number which is required for some investigation manually. With the development of this system, it will be easy to recognize license plate approximately which reduces the manual work. Developed system recognizes license plate of car mainly and also other vehicles license plate which is of rectangular shape only. Recognizes Image of front view, back view and also some slanted view image. System recognizes license plate of different countries consisting of English alphabets and number and doesn’t matter whatever the font style is. Also recognizes license plate which is of yellow colour as well. But recognizes one-layer license plate only. This type of system is widely used in Traffic control areas, tolling, parking area etc. This system can be used for the purpose of security system.

VLPR, License Plate Detection, Localization, Segmentation, License Plate Recognition, K-Nearest Neighbour (KNN)

"Vehicle License Plate Recognition from the given image of Vehicle/License Plate ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.a925-a932, July-2021, Available :http://www.jetir.org/papers/JETIR2107119.pdf

"Vehicle License Plate Recognition from the given image of Vehicle/License Plate ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppa925-a932, July-2021, Available at : http://www.jetir.org/papers/JETIR2107119.pdf