Iris biometric authentication based on local global graphs: An FPGA implementation

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.