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Yooyoung Lee, P. Jonathon Phillips, James Filliben, J. R. Beveridge, Hao H. Zhang
Methods for assessing the impact of factors and image-quality metrics for still face images are well-understood. The extension of these factors and quality measures to faces in video has not, however, been explored. We present a specific methodology for
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)
P J. Phillips, J. R. Beveridge, Hao Zhang, Patrick J. Flynn, Venice E. Liong, Jiwen Lu, Marcus de Assis Angeloni, Tiago de Freitas Pereira, Haoxiang Li, Vitomir Struc, Janez Krizaj
Haiying Guan, Andrew Dienstfrey, Mary Frances Theofanos, Brian Stanton
Although fingerprint mark-up and identification are well-studied fields, forensic fingerprint image preprocessing is still a relatively new domain in need of further scientific study and development of guidance of best practice. Latent fingerprint image
Kristen Greene, Ross J. Micheals, Kayee K. Hanaoka, Gregory P. Fiumara
In this report, we describe in detail the design and usability testing of a touchscreen interface for multimodal biometric capture, an application called WSABI, Web Services for the Acquisition of Biometric Information. The application code is publicly
Karen Marshall, Ross J. Micheals, Kevin C. Mangold, Kayee K. Hanaoka
Biometric devices have emerged as pervasive and indispensable tools in facilitating security in many industries and governments worldwide�. The use of these devices has consistently increased and advanced. However, advancement of the methodologies used to
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
This report documents performance of one-to-many face identification algorithms, and compares it with that in 2010. Performance in this context refers recognition accuracy and computational resource usage as measured by executing those algorithms on
Yooyoung Lee, P. Jonathon Phillips, James Filliben, J. R. Beveridge, Hao Zhang
This paper identifies important factors for face recognition algorithm performance in video. The goal of this study is to understand key factors that affect algorithm performance and to characterize the algorithm performance. We evaluate four factor
Vladimir N. Dvornychenko, Stephen B. Meagher, Michael Garris
The term "lights-out" for AFIS ten-print fingerprint operations has been around for many years and is generally understood to mean "no human intervention is involved." But is this appropriate for AFIS latent print operations? Is it truly possible to
The Department of Homeland Security (DHS) requires general human systems integration (HSI) criteria for the design and development of human-machine interfaces for the technology, systems, equipment, and facilities employed by its user population. HSI is
Shahram Orandi, Kenneth Ko, Stephen S. Wood, John D. Grantham, Michael D. Garris
Background: NIST conducted a study of the FBI Repository for Individuals of Special Concern (RISC) system using various gallery and Mobile ID [MOBID] acquisition profile combinations to examine performance characteristics of the various profiles in terms
Facial Age Estimation is an area of study new to the Face Recognition Vendor Test (FRVT) Still Track. While peripheral to traditional face recognition, it has become a growing area of research given its potential use in commercial and biometric