Title :
Fingerprint biometric authentication based on local global graphs
Author :
Kannavara, Raghudeep ; Bourbakis, Nikolaos G.
Author_Institution :
Coll. of Eng., Wright State Univ., Dayton, OH, USA
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.
Keywords :
fingerprint identification; graph theory; security of data; authentication; fingerprint biometric authentication; local global graph; preprocessed fingerprint image; Authentication; Biometrics; Data mining; Field programmable gate arrays; Fingerprint recognition; Histograms; Image databases; Image matching; Pixel; Testing;
Conference_Titel :
Aerospace & Electronics Conference (NAECON), Proceedings of the IEEE 2009 National
Conference_Location :
Dayton, OH
Print_ISBN :
978-1-4244-4494-6
Electronic_ISBN :
978-1-4244-4495-3
DOI :
10.1109/NAECON.2009.5426628
