Pre-diagnostic tool to predict obstructive lung diseases using iris recognition system

Abstract

In human beings Lungs are the essential respiratory organs. Their weakness affects respiration and lead to various obstructive lung diseases (OLD) such as bronchitis, asthma or even lung cancer. Predicting OLD at an earlier stage is better than diagnosing and curing them later. If it is determined that a human is prone to OLD, human may remain healthy by doing regular exercise, breathing deeply and essentially quitting smoking. The objective of this work is to develop an automated pre-diagnostic tool as an aid to the doctors. The proposed system does not diagnose, but predict OLD. A 2D Gabor filter and Support Vector Machine (SVM) based iris recognition system has been combined with iridology for the implementation of the proposed system. An eye image database, of 49 people suffering from OLD and 51 healthy people has been created. The overall maximum accuracy of 88.0% with a sample size of 100 is encouraging and reasonably demonstrates the effectiveness of the system.