Track: Artificial Intelligence

Abstract

Cataract is one of eye diseases, namely a dense, cloudy area that form in the lens, can cause the blindness. To identify this diseases, most hospital used slit lamp which shows different structure at the front and inside of the eye. However, this equipment is very expensive for public health center in urban area. To overcome this problem, the camera installed with artificial intelligence to ensure there is cataract or not. In this system, feature extraction of Gray Level Co-occurrence Matrix (GLCM) method and identification method of Support Vector Machine (SVM) are being used to distinguishing normal eye or the one with cataract. This system makes the process faster and ensured the patient about the diagnosed better. So that they can undergo surgery as soon as possible. The result of this research by using the computer simulation has a good accuracy, namely 82% and 77% respectively for training and testing phases