Fingerprint biometric authentication based on local global graphs

Abstract

In this work, we present a method for fingerprint based biometric authentication using the Local Global (LG) Graph methodology. Local graphs of the pre-processed fingerprint image are first calculated and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented and the stored fingerprint images is calculated and based on a threshold, subject authenticity is established.