Fuzzy-Based Algorithm for Efficient Vehicle License Plate Recognition in Iran's Transportation System

This paper presents a novel approach to license plate recognition in Iran's transportation system by employing a fuzzy-based algorithm. The proposed method involves a four-stage process, including the conversion of RGB images to grayscale, fuzzy thresholding using a Fuzzy Inference System (FIS), character segmentation, and application of fuzzy clustering for license plate number detection. Simulation results demonstrate the effectiveness of the proposed method in achieving rapid and accurate license plate number detection.