Automatic License Plate Detection using KNN and Convolutional Neural Network

• Published in: 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) pp. 1634 - 1639
• Main Authors: Kumari, P Lavanya, Tharuni, Ravoori, Sai Vasanth, I V S, Vinay Kumar, M
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29-03-2022
• Subjects: Integrated optics; K Nearest Neighbor; License plate recognition; Lighting; Nearest neighbor methods; OpenCV; Optical character recognition software; Optical imaging; Road transportation; Segmentation
• DOI: 10.1109/ICCMC53470.2022.9753706

License plate Recognition is a computerized machine that eventually detects a number plate from a given digital image. There are various operations that are enclosed with the detection of the number plate such as capturing images, locating the actual license plate, division of letters and the optical character recognition from those alphanumeric characters. Here, the major concept lies in developing and increasing the image transformation strategies where the algorithm locates the number plate by dividing each character with the help of OpenCV. The implemented is done with the help of K-Nearest neighbor algorithm in Python programming language. Some of the real-life applications where this system is used is security, detection of speed of vehicle at highways, violation of light and text printed identification.