Nano Science and Technology Institute - NSTI  
Nano Science and Technology Institute   Home | Subscribe | Site Map  
  ABOUT | COURSES | EVENTS | PUBLICATIONS | LEADERSHIP | OUTREACH | NEWS | PRESS | JOBS | Nanotechnology Solutions
px
px fade_top
Publications
Nanotech 2008 CDROM
Nanotech 2007 CDROM
Nanotech 2006 CDROM
Nanotech 2005 CDROM
Nanotech 2004 CDROM
3 CDROM Special Offer
Nanotech 2008 Vol. 1
Nanotech 2008 Vol. 2
Nanotech 2008 Vol. 3
Nanotech 2007 Vol. 1
Nanotech 2007 Vol. 2
Nanotech 2007 Vol. 3
Nanotech 2007 Vol. 4
Nanotech 2006 Vol. 1
Nanotech 2006 Vol. 2
Nanotech 2006 Vol. 3
Nanotech 2005 Vol. 1
Nanotech 2005 Vol. 2
Nanotech 2005 Vol. 3
WCM 2005
Nanotech 2004 Vol. 1
Nanotech 2004 Vol. 2
Nanotech 2004 Vol. 3
Nanotech 2003 Vol. 1
Nanotech 2003 Vol. 2
Nanotech 2003 Vol. 3
Nanotech 2002 Vol. 1
Nanotech 2002 Vol. 2
Nanotech 2001 Vol. 1
Nanotech 2001 Vol. 2
MSM 2000
MSM 99
MSM 98
Index of Authors
Index of Keywords
Index of Affiliations
Library Request Form
Shopping Cart
Order Form
 
Publications Publications
Nanotech 2008 Vol. 2
p
 
Nanotechnology 2008: Life Sciences, Medicine & Bio Materials - Technical Proceedings of the 2008 NSTI Nanotechnology Conference and Trade Show, Volume 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
 
Chapter 7: Bio & Chem Sensors
 

Robust Fingerprint Identification System Using Backpropagation and ART Neural Networks

Authors:A.A. Ilumoka, M. Talluri, M. Eng
Affilation:University of Hartford, US
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%.
ISBN:978-1-4200-8504-4
Pages:808
Hardcopy:$199.99
 
Order:Mail/Fax Form
Special:3 CD Set — 15% off with Free Shipping
Up
Upcoming Events
Nanotech 2009
Cleantech 2009
BioNano 2009
TechConnect Summit
nanoPRwire™
nanoPRwire
News Headlines
nano World news
 
 
 
 
px
© Nano Science and Technology Institute     About NSTI | Terms of Use | Privacy Policy | Contact