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Search Publications by: Michael D. Indovina (Fed)

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Displaying 1 - 25 of 36

An Evaluation of Automated Latent Fingerprint Identification Technology (Phase II)

April 2, 2009
Author(s)
Michael D. Indovina, Vladimir N. Dvornychenko, Elham Tabassi, George W. Quinn, Patrick J. Grother, Stephen Meagher, Michael D. Garris
The National Institute of Standards and Technology (NIST), with the cooperation of eight technology providers, performed a test of accuracy for searching latent fingerprints when using automatically extracted features and matching (AFEM). This test is

MINEX II Performance of Fingerprint Match-on-Card Algorithms - Phase II Report

February 29, 2008
Author(s)
Patrick J. Grother, Wayne J. Salamon, Michael D. Indovina, Craig I. Watson
The MINEX II trial was conducted to evaluate the accuracy and speed of Match-on-Card verification algorithms. These run on ISO/IEC 7816 smart cards. They compare conformant reference and verification instances of the ISO/IEC 19794-2 COMPACT CARD

Concepts of Operations (CONOPS) for the Evaluation of Latent Fingerprint Technologies (ELFT)

June 12, 2007
Author(s)
Vladimir N. Dvornychenko, Brian J. Cochran, Patrick J. Grother, Michael D. Indovina, Craig I. Watson
The National Institute of Standards and Technology (NIST) is conducting a series of tests for evaluating the state of the art in Automated Latent Fingerprint matching. The intent of the testing is to quantify the core algorithmic capability of contemporary

MINEX Performance and Interoperability of the INCITS 378 Fingerprint Template

March 2, 2006
Author(s)
Patrick Grother, R. McCabe, Craig I. Watson, Michael D. Indovina, Wayne J. Salamon, Patricia A. Flanagan, Elham Tabassi, Elaine M. Newton, Charles L. Wilson
While the interchange of fingerprint image data provides the greatest interoperability between dissimilar fingerprint recognition systems, standards exist that specify the location and formatting of processed minutiae locations data, or templates. Minutiae

Two Finger Matching with Vendor SDK Matchers

July 1, 2005
Author(s)
Craig I. Watson, Charles L. Wilson, Michael D. Indovina, Brian J. Cochran
This report is an extension of the NIST Studies of one-to-one Fingerprint Matching with Vendor SDK Matchers which evaluated the accuracy of SDK (Software Development Kit) based on COTS (Commercial Off-The-Shelf) fingerprint matching systems for one-to-one

Slap Fingerprint Segmentation Evaluation 2004 Analysis Report

March 1, 2005
Author(s)
Brad Ulery, R. A. Hicklin, Craig I. Watson, Michael D. Indovina, Kayee Hanaoka
The Slap Fingerprint Segmentation Evaluation 2004 (Slap Seg04) was conducted to assess the accuracy of algorithms used to segment slap fingerprint images into individual fingerprint images. Segmenters from ten different organizations were evaluated on data

Studies of One-to-One Fingerprint Matching With Vendor SDK Matchers

June 24, 2004
Author(s)
Craig I. Watson, Charles L. Wilson, Karen Marshall, Michael D. Indovina, Robert D. Snelick
NIST has conducted testing of one-to-one SDK (Software Development Kit) based COTS fingerprint matching systems to evaluate the accuracy of one-to-one matching used in the US-VISIT program. Fingerprint matching systems from eight vendors not used in US

Multimodal Biometric Authentication Methods: A COTS Approach

December 1, 2003
Author(s)
Michael D. Indovina, Robert D. Snelick, Alan Mink
We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometrics on a population approaching 1000 individuals. Prior studies of multimodal biometrics have been

Multimodal Biometrics: Issues in Design and Testing

November 1, 2003
Author(s)
Robert D. Snelick, Michael D. Indovina, James H. Yen, Alan Mink
The results of experimental studies on multimodal biometric systems for small-scale populations have shown better performance compared to single-mode biometric systems. We examine if such techniques scale to larger populations, introduce a methodology to