• M. Suresh Anand
• R.Kumar
• R.Shubathra
• M.Ragavi
• R.Bhagya Lakshmi Priya

Diabetes mellitus, commonly called as Diabetes, in which the person has high sugar level. Insulin, produced by the pancreas, is responsible for controlling the level of blood glucose level. The lack of production in insulin leads to Diabetes. If the problem left untreated, it leads to serious complications includes cardiac problems. There are various invasive techniques to diagnose diabetes. In this project we are using mid infrared rays instead of near infrared rays to acquire the thermal image of the palm. The thermal images are pre-processed and segmented using k means clustering. Then they are subjected to feature extraction.many data analysis software packages provide for feature extraction. Common numerical programming environments such as NumPy,MATLAB,etc provide some of the simple feature extraction techniques via built-in commands in this project,we are using principal component analysis using NumPy for feature extraction. After extracting the features,the gray scale image is classified using classifiers. The classifiers like Support Vector Machine (SVM), Probabilistic Neural Network (PNN), K-Nearest Neighbour Network (KNN) are used to diagnose the thermal images of palm. In this project we are using support vector machine (SVM) as the classifier. Because support vector machine (SVM) is suitable for supervised learning than other available classifiers.

sugar,thermal,image processing, diabetes,classifiers

"DIABETES LEVEL FINDING USING HUMAN PALM THERMAL IMAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.205-211, May 2019, Available :http://www.jetir.org/papers/JETIRCU06042.pdf

"DIABETES LEVEL FINDING USING HUMAN PALM THERMAL IMAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp205-211, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06042.pdf