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Displaying 26 - 50 of 65

Fingerprint Vendor Technology Evaluation

January 8, 2015
Author(s)
Craig I. Watson, Gregory P. Fiumara, Elham Tabassi, Su L. Cheng, Patricia A. Flanagan, Wayne J. Salamon
FpVTE was conducted primarily to assess the current capabilities of fingerprint matching algorithms using operational datasets containing several million subjects. There were three classes of participation that examined various finger combinations from

Performance evaluation of fingerprint open-set identification algorithms

September 22, 2014
Author(s)
Elham Tabassi, Craig I. Watson, Gregory P. Fiumara
We report performance of one-to-many fingerprint identification algorithms using one, two, four, eight or ten fingers for recognition. Performance is quantified in terms of recognition accuracy (false positive and false negative identification rate)

IREX V: Guidance for Iris Image Collection

June 12, 2014
Author(s)
George W. Quinn, JAmes Matey, Elham Tabassi, Patrick J. Grother
This document provides guidance for the proper collection of iris images. Problems that occur during image acquisition can lead to poor quality samples. If the subject was looking down or blinking at the moment of capture, the image should be rejected and

IREX VI - Temporal Stability of Iris Recognition Accuracy

July 11, 2013
Author(s)
Patrick J. Grother, James R. Matey, Elham Tabassi, George W. Quinn, Michael Chumakov
Background: Stability is a required definitional property for a biometric to be useful. Quantitative statements of stability are operationally important as they dictate re-enrollment schedules e.g. of a face on a passport. Ophthalmologists consider the

Iris Quality Calibration and Evaluation (IQCE): Evaluation Report

September 24, 2011
Author(s)
Elham Tabassi, Patrick J. Grother, Wayne J. Salamon
Iris is rapidly gaining acceptance and support as a viable biometric. Several large scale identity management applications are either using or considering iris as their secondary or primary biometric for verification. While there are several academic

Image specific error rate: A biometric performance metric

August 20, 2010
Author(s)
Elham Tabassi
Image-specific false match and false non-match error rates are defined by inheriting concepts from the biometric zoo. These metrics support failure mode analyses by allowing association of a covariate (e.g., dilation for iris recognition) with a matching

IREX I: Performance of Iris Recognition Algorithms on Standard Images

October 30, 2009
Author(s)
Patrick J. Grother, Elham Tabassi, George W. Quinn, Wayne J. Salamon
The IREX program supports the development of interoperable iris imagery for use in high performance biometric applications. The IREX evaluation, was conducted in cooperation with the iris recognition industry to demonstrate that standardized image formats

Minutia Interoperability

June 15, 2009
Author(s)
Elham Tabassi
Many large scale identity management applications require storage and exchange of standardized minutiae templates. Minutia templates offer a more space efficient, less resource intensive, and more cost effective alternative to raw images. Recent minutiae

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

Performance of Biometric Quality Measures

April 16, 2007
Author(s)
Patrick Grother, Elham Tabassi
We document methods for the quantitative evaluation of systems that produce a scalar summary of a biometric sample¿s quality. We predicate this on the idea that the quality measure predicts performance, whether by design or correlation. We do this