Implementation on Iridology Based Alzheimer’s Disease Detection Using Image Processing

Abstract

Alzheimer’s disease is an illness of brain which affects the memory, thinking capability and behavior of person. It is named after Alois Alzheimer, the German doctor who has described it in 1907.The brain cells eventually die and this means that information cannot be remembered. As Alzheimer’s disease affects each area of the brain that causes a slow decline in memory, thinking and reasoning skills. As there is no cure system available for this disease, but early effective detection of disease can slow down the progression of disease. Several techniques are available like MRI scan, CT scans, PET scans; these can help to detect the Alzheimer’s. A new innovative technique based on iridology is proposed in this paper. This paper presents a specific pattern which will be used to determine existence of Alzheimer’s disease. The adaptive pattern recognition technique can lead to achieve better than 75% accuracy; which was last milestone. A good resolution image can give better results while blur; ambiguous image can degrade performance of pattern recognition of
technique.