A virtual doctor prototype for quick diagnosis and secure health information exchange
In this work, we present a Local-Global (LG) graph methodology for iris based biometric authentication. Local-Global (LG) graph method adds local part information into a global graph. Local graphs of the pre-processed iris images are first calculated by feature extraction and combined to form a Global graph that is stored in a database for the purpose of authentication. The Global graph of the presented test image is compared with the Global graph of the stored reference image and based on a distance metric, the authenticity of the subject is established.