Face Location
Michigan State University
FaceSnap recorder - digital video recording and face recognition
digital video recorder with built-in face recognition (C-VIS Computer Vision und Automation GmbH).
The FBI Fingerprint Image Compression Standard
(uses wavelets)- Chris Brislawn home page
Federal Motor Carrier Safety Administration
Study into appropriate biometrics suitable for inclusion in commercial driving licenses to identify drivers.
findBIOMETRICS.com
Resource for Biometric technologies and applications. Articles, reports, vendor directory and daily press releases.
Fingerprint Classification by Directional Image Partitioning
Raffaele Cappelli, Alessandra Lumini, Dario Maio, Member, IEEE, and Davide Maltoni (Trans. PAMI, Abstract)
Fingerprint Enhancement by Shape Adaptation of Scale-Space Operators with Automatic Scale-Selection
Andrés Almansa and Tony Lindeberg Technical Report TRITA-NA/P--98/03--SE.
Fingerprint Image Enhancement: Algorithm and Performance Evaluation
Trans. PAMI, abstract.
Fingerprint Matching: Data Acquisition and Performance Evaluation
A. K. Jain, S. Prabhakar, and A. Ross - MSU Technical Report
Fingerprint structure imaging based on an ultrasound camera
Optel sp. z o.o., Wroclaw, Poland
Fusion of Face and Speech Data for Person Identity Verification
Souheil Ben-Yacoub, Yousri Abdeljaoued, and Eddy Mayoraz (IDIAP-RR 99-03, 1999).
GFF Format Summary
Provides content regarding data format for the interchange of fingerprint information.
HAND GEOMETRY
Michigan State University
The Importance of Benchmarking
(Fingerprint identification)
Iris recognition
Webpage of John Daugman, Cambridge University (UK) teacher and researcher in computer vision, neuroscience, and pattern recognition; inventor of iris recognition.
MultiBiometrics
Michigan State University
Multi-Modal System for Locating Heads and Faces
Hans Peter Graf, Eric Cosatto, Dave Gibbon, Michael Kocheisen (AT&T Research), Eric Petajan (Lucent Technology).
The 2001 NIST Speaker Recognition Evaluation
The 2001 NIST Speaker Recognition evaluation is part of an ongoing series of yearly evaluations conducted by NIST. These evaluations provide an important contribution to the direction of research efforts and the calibration of technical capabilities. They are intended to be of interest to all researchers working on the general problem of text independent speaker recognition. To this end the evaluation was designed to be simple, to focus on core technology issues, to be fully supported, and to be accessible.
A normal glass pane?
The possible future of finger and hand recognition and identification (Optel, PL)
An Open Interstate Matching Specification
This document describes a standard data format for the interchange of client fingerprint and facial information between dissimilar human services assistance programs. The Managing Double Dipping (MaDD) specification is a tag-based file format for storing and interchanging data and images and is compliant with the ANSI/NIST standard for fingerprint exchange. (Sagem Morpho Incorp.)
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