Measurement of Cholesterol Levels through Eye based on Co-Occurrence Matrix on Android

Abstract

Cholesterol is the most important component of cell membranes that contain fat with most of it being produced in the liver and other parts of food. In general, cholesterol can be known through blood samples carried out in the laboratory. But scientifically, cholesterol can be determined through cholesterol in the iris or called Arcus Senilis. The iris part of a person is very unique so that the patterns and structures are different so that it becomes a feature of identification on someone. Cholesterol can be determined through the thickness of the white value of the cholesterol ring so that it can produce training characteristic values. Linear regression analysis was used to obtain linear regression modeling and then from the results of the linear regression modeling that will be used to determine the value of cholesterol levels. This paper designed an Android-based application for measuring cholesterol levels from eye images. The extraction method used is Gray-Level Co-Occurrence Matrix and calculation of cholesterol levels using Linear Regression. In this research, the process of taking eye images through a smartphone camera and cholesterol consisted to the several classes including Normal Cholesterol, Risk Cholesterol, and High Cholesterol.