Nanotech 2008 Vol. 2
Nanotech 2008 Vol. 2
Nanotechnology 2008: Life Sciences, Medicine & Bio Materials - Technical Proceedings of the 2008 NSTI Nanotechnology Conference and Trade Show, Volume 2

Bio & Chem Sensors Chapter 7

Robust Fingerprint Identification System Using Backpropagation and ART Neural Networks

Authors: A.A. Ilumoka, M. Talluri, M. Eng

Affilation: University of Hartford, United States

Pages: 622 - 628

Keywords: biometric systems, fingerprint recognition, neural networks, artificial intelligence

Abstract:
This paper describes a robust minutiae-based fingerprint identification method suitable for use in small populations. System employs two serially connected neural networks in which fingerprint feature extraction is carried out by the first network – a backpropagation neural network and matching by the second - an adaptive resonance theory network which performs the decision making task of matching acquired fingerprint to templates in a database. The approach has been applied to a real database of noisy fingerprints derived from the 2002 Fingerprint Verification Competition (FVC2002) and has achieved error rates as low as 4% at penetration rates of 100%.

Robust Fingerprint Identification System Using Backpropagation and ART Neural Networks

ISBN: 978-1-4200-8504-4
Pages: 808
Hardcopy: $159.95