• Kavitha Narayan.B.M
• Varshini.S
• Pallavi.K.M
• Sahana.S
• Hemanth Kumar.S

The iris is like a map of the body. Changes in certain organs is reflected in specific parts of the iris. So in health diagnosis, Iris image play very important role. For clinical diagnosis, Iris image analysis is one of the most efficient non-invasive diagnosis method which helps to determine the health status of organs. Irido-diagnosis is the branch of medical science, with the help of which different diseases can be detected. Initially the images of eye are captured, database is created with their clinical history, features are found out and finally the classification is done whether diabetes is present or not. This approach will be useful in the diagnosis fields, which are faster, user friendly and less time consuming.

Diabetes, Irido-diagnosis, Iris, Feature Extraction, Feature Classification, DWT, 2D Gabor, SVM

"Detection of Diabetes Based on Iris Image Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e22-e28, July-2022, Available :http://www.jetir.org/papers/JETIR2207403.pdf

"Detection of Diabetes Based on Iris Image Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe22-e28, July-2022, Available at : http://www.jetir.org/papers/JETIR2207403.pdf