This document describes research on automatic number plate recognition using image segmentation. The proposed methodology involves capturing an image of a vehicle, converting it to grayscale, performing thresholding for binarization, detecting the number plate region, segmenting individual characters, and recognizing the characters using optical character recognition. Previous literature on number plate recognition methods is reviewed, including works involving Persian, English, and Indian license plates. The proposed system aims to localize the license plate with 99% accuracy, segment characters with 99.2% accuracy, and recognize the plate number with 98% accuracy.