Bachelor's Thesis Project under Dr. Kannan Karthik, Associate Professor, IITG
Abstract: Fingerprinting has been one of the most significant pillars of biometric identification for close to a century. Spoof fingerprints are one of the most prominent ways to attack the security of a fingerprint detection and recognition system. We develop an analysis technique for detecting the liveness of a fingerprint sample. The development of a novel unique feature space for a live fingerprint is undertaken with the motivation of using it as a distinguishing metric against the feature space of the spoof fingerprints.
Reference for Dataset:
V. Mura, G. Orru, R. Casula, A. Sibiriu, G. Loi, P. Tuveri, L. Ghiani, and G.L. Marcialis, ”LivDet 2017 Fingerprint Liveness Detection Competition 2017”, International Conference on Biometrics (ICB 2018), 21-24, February, 2018, Goldcoast (Queensland, Australia), DOI: 10.1109/ICB2018.2018.00052”