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V Blanz, Patrick Grother, P. Jonathon Phillips, T Vetter
This paper presents a method for face recognition across large changes in viewpoint. Our method is based on a Morphable Model of 3D faces that represents face-specific information extracted from a dataset of 3D scans. For non-frontal face recognition in 2D
P J. Phillips, P J. Flynn, W T. Scruggs, K W. Bowyer, J S. Chang, K Hoffman, J Marques, J Min, W Worek
Over the last couple of years, face recognition researchers have been developing new techniques, such as recognition from three-dimensional and high resolution imagery. These developments are being fueled by advances in computer vision techniques, computer
With the mass deploy of cameras, concern has risen about protecting a person's privacy as he goes about his daily life. Many of the cameras are installed to perform surveillance tasks that do not require the identity of a person. In the context of
We present a novel measure of fingerprint image quality, which can be used to estimate fingerprint match performance. This means presenting the matcher with good quality fingerprint images will result in high matcher performance, and vice versa, the
The proportion of people who have fingerprints that are particularly hard to match (also known as "Goats") is a topic of great interest in biometrics, especially for those involved in the design, development, or evaluation of fingerprint-based
J. R. Beveridge, Geof H. Givens, Bruce A. Draper, P. Jonathon Phillips
This paper introduces linear models (LM), generalized linear models (GLM), and generalized linear mixed models (GLMM) for analyzing performance of face recognition algorithms. These three statistical techniques are applied to analyzing the affect of
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
This paper demonstrates that, for large-scale tests, the match and non-match similarity scores have no specific underlying distribution function. The forms of these distribution functions require a nonparametric approach for the analysis of the fingerprint
Federal Information Processing Standard (FIPS) 201, Personal Identity Verification (PIV) of Federal Employees and Contractors, was approved by Carlos M. Guitierrez, the U.S. Secretary of Commerce, on February 25, 2005. The standard specifies a system based
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
In August 2004 NIST published a novel measure of fingerprint image quality, which can be used to estimate fingerprint match performance. The definition and methodology of NIST Fingerprint Image Quality (NFIQ) is documented in [1] and its implementation is
NIST has conducted testing of one-to-one fingerprint matching systems to evaluate the effect of image size and compression on the accuracy of the one-to-one matching process. Images from three live-scan fingerprint scanners collected by the Departments of
This paper presents an R&D framework used by the National Institute of Standards and Technology (NIST) for biometric technology testing and evaluation. The focus of this paper is on fingerprint-based verification and identification. Since 9-11 the NIST
Charles L. Wilson, Michael D. Garris, Craig I. Watson
This report discusses the flat to flat matching performance of the US-VISIT fingerprint matching system. Both one-to-many matching used to detect duplicate visa enrollments and one-to-one matching used to verify the identity of the visa holder are
Measuring system performance is conceptually straightforward; it is the interpretation of the results and their use as predictors of future performance that are the exceptional challenges in system evaluation and the experimentation in general. Good
Charles L. Wilson, Patrick J. Grother, Ross J. Micheals, S C. Otto, Craig I. Watson, R. A. Hicklin, H Korves, Brad Ulery, M Zoepfl
The Fingerprint Vendor Technology Evaluation (FpVTE) 2003 was conducted to evaluate the accuracy of fingerprint matching, identification, and verification systems. The FpVTE is one of the tests that NIST has conducted in order to fulfill part of its
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
Afzal A. Godil, Sanford P. Ressler, Patrick J. Grother
In this paper, we investigate the use of 3D surface geometry for face recognition and compare it to one based on color map information. The 3D surface and color map data are from the CAESAR anthropometric database. We find that the recognition performance
Craig I. Watson, Brad Ulery, R. A. Hicklin, William Fellner, P Halinan
This is an evaluation of different score-level fusion techniques, and the results of a variety of fusion experiments using face and fingerprint data from 187,000 individuals, with matcher scores from three fingerprint and three face recognition systems
Fernando L. Podio, J S. Dunn, L Reinert, C J. Tilton, L O'Gorman, P Collier, Mark Jerde, B Wirtz
This report is an augmentation of the original standard, which was published as NISTIR 6529 (January 2001). Common Biometric Exchange File Format (CBEFF) describes a set of data elements necessary to support biometric technologies in a common way. These
In this report, we propose a new definition of quality of fingerprint impressions and present detailed algorithms to measure image quality for fingerprints. We define fingerprint image quality as a predictor of matcher performance before a matcher
Further analyses of the systems tested in the Face Recognition Vendor Test 2002 are reported. These supplement those covered in the primary Evaluation Report of March 2003. Specifically this report is intended to appeal to a more specialized audience; it
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