GLAUCOMA DETECTION SYSTEM ON THE BASIS COMBINING NB and RF CLASSIFIERS

Abstract

A group of vision-impairing eye conditions known as glaucoma damages the optic nerve, which is essential for clear vision. Frequently, the result is abnormally high ocular pressure. One of the leading causes of blindness in adults over 60 is glaucoma. However, it is more prevalent in older persons of all ages. Glaucoma must be diagnosed as soon as possible. This paper presents the Glaucoma Detection System (GDS), which combines classifiers. For the purpose of glaucoma detection, the GAD system employs the Naive Bayes (NB) and Random Forest (RF) classifiers. The major function of the optic disc and cup is to find anomalies in fundus pictures. The optic cup and optic disc are first extracted from the input fundus pictures, and a region of interest (ROI) is then found.