Iridology is the science that allows a health practitioner or non expert to learn the signs in the iris of the eye that is capable of indicating the presence of abnormalities in the body, including basic genetics, toxin deposition, dam circulation, and other weaknesses. Research on computerized iridology had been done before. This paper present a computerized iridology system for detecting heart conditions which is designed through several stages such as pre-processing, auto cropping, segmentation, feature extraction and classification using Thresholding Algorithm. Put a sample of the patient’s iris shows the condition of normal and abnormal heart. Our proposed heart abnormalities detection system performs in Mugi Barokah Clinic Surabaya. We made an experimental study of our proposed system by using 40 data of normal and abnormal patients to determine the effectiveness of our application system. Our heart abnormalities detection system gives contribution for the patient with 86,4% accuration.