License plate localization based on Kapur optimal multilevel threshold

Abstract

A license plate localization system is useful for many applications. Due to ambient of lighting in three distinct situation which are morning, afternoon and night causing difficulty to search optimum threshold value in each situation. This research uses global thresholding approach by using Kapur entropy multilevel threshold based on Patch-Levy Bees Algorithm (PLBA). As a result, the system properly localize and identify number plate in the image by using proposed segmentation image. From the experiment, proposed method are achieve accuracy rates to 67.68%, 90.71%, 24.34% respectively for morning, afternoon and night dataset.