As the WHO says, heart disease is a main cause of death and examining it by current methods in hospitals is not cheap. Iridology is one of the most popular alternative ways to detect the condition of organs. Iridology is a science field that makes a health non-expert or practitioner to study signs in the iris that are capable of showing abnormalities in the body, including basic genetics, toxin deposition, dam circulation, and other weaknesses. Research on computer iridology has been done before. One is about the computer’s iridology system to detect heart conditions. Some previous works used manual cropping to get iris images and auto cropping on PC. This research presents auto cropping on iris images base on mobile devices. There are several stages such as capture eye base on target, pre-processing, cropping, segmentation, feature extraction and classification using Thresholding algorithms. The system we proposed was tested at Mugi Barokah Clinic Surabaya. This research resulted in an experimental using 20 data indicating that the auto cropping results is 45% success for cropping process and all the success cropping brings accuracy for classification.