Published Paper Details:

Diabetes can be provided with the best solution when it is known earlier. It may lead to several problems like kidney damage, heart disease, nerve damage, and eye diseases. Image processing is a procedure of using a digital computer to process digital images through various algorithms. Iridology is a medical science to study the iris tissues which can help to predict various problems in the human body, long before the symptoms occur. In this paper, we are using image processing to study the iris images with the help of iridology to predict the presence of diabetes mellitus in a human for classification of images, SVM algorithm is being used because it is more appealing theoretically than KNN and Navey Bayes algorithms and in practice, its strength is its power to address non-linear classification tasks and the 2-D wavelet tree extraction technique to extract data from image datasets of 100 people having normal eye(healthy) and diabetic eye. We are providing an interface to easily upload images and obtain results. Accuracy of 89.7% is observed which persuades the effectiveness of the system.