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Publications

Search Publications by

Kenneth Ko (Fed)

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Displaying 1 - 15 of 15

Evaluating the Impact of Contactless Fingerprint Imagery Spatial Loss on Matcher Performance

September 23, 2021
Author(s)
Shahram Orandi, John M. Libert, Bruce Bandini, Kenneth Ko, John Grantham, Brian J. Cochran, Craig I. Watson
Observations in previous studies have shown that contactless capture devices may be prone to capturing superfluous data (e.g., fingernail or finger background), distortion and imaging artifacts especially around the periphery of the captured fingerprint

Evaluating the Operational Impact of Contactless Fingerprint Imagery on Matcher Performance

September 15, 2020
Author(s)
Shahram Orandi, John M. Libert, Bruce Bandini, Kenneth Ko, John D. Grantham, Craig I. Watson
This study set out to examine the operational impact of introducing contactless fingerprint imagery to a modern fingerprint matching system that was designed for touch-collected images in either a standard Ten-Print operational matching pathway or a Mobile

Interoperability Assessment 2019: Contactless-to-Contact Fingerprint Capture

May 19, 2020
Author(s)
John M. Libert, John D. Grantham, Bruce Bandini, Kenneth Ko, Shahram Orandi, Craig I. Watson
This report describes computational comparison measurements as well as match error analysis applied to fingerprint images collected by researchers of the National Institute of Standards and Technology (NIST) in May of 2019. Fingerprint images from 200

NIST Special Database 302: Nail to Nail Fingerprint Challenge

December 11, 2019
Author(s)
Gregory P. Fiumara, Patricia A. Flanagan, John D. Grantham, Kenneth Ko, Karen Marshall, Matthew Schwarz, Elham Tabassi, Bryan Woodgate, Christopher Boehnen
In September 2017, the Intelligence Advanced Research Projects Activity (IARPA) held a data collection as part of its Nail to Nail (N2N) Fingerprint Challenge. Participating Challengers deployed devices designed to collect an image of the full nail to nail

Nail to Nail Fingerprint Challenge: Enrollment Set Size Variability

June 24, 2019
Author(s)
Gregory P. Fiumara, Kenneth Ko, Elham Tabassi, Patricia A. Flanagan, John D. Grantham, Karen Marshall, Matthew Schwarz, Bryan Woodgate
In September 2017, the Intelligence Advanced Research Projects Activity held a fingerprint data collection as part of the Nail to Nail Fingerprint Challenge. Thousands of latent fingerprint images collected at the Challenge were searched against rolled

Guidance for Evaluating Contactless Fingerprint Acquisition Devices

July 27, 2018
Author(s)
John M. Libert, John D. Grantham, Bruce Bandini, Stephen S. Wood, Michael D. Garris, Kenneth Ko, Frederick R. Byers, Craig I. Watson
This document details efforts undertaken by the National Institute of Standards and Technology (NIST) to develop measurements and a protocol for the evaluation of contactless (touchless) fingerprint acquisition devices. Contactless fingerprint capture

NIST Special Database 300: Uncompressed Plain and Rolled Images from Fingerprint Cards

June 14, 2018
Author(s)
Gregory P. Fiumara, Patricia A. Flanagan, John D. Grantham, Bruce Bandini, Kenneth Ko, John M. Libert
A new collection of legacy inked rolled and plain fingerprint card scans are being released to the public. The cards were scanned at three resolutions in the 8 bit grayscale colorspace. The data is available as lossless images for free.

Nail to Nail Fingerprint Challenge: Prize Analysis

May 3, 2018
Author(s)
Gregory P. Fiumara, Elham Tabassi, Patricia A. Flanagan, John D. Grantham, Kenneth Ko, Karen Marshall, Matthew Schwarz, Bryan Woodgate, Christopher Boehnen
In September 2017, the Intelligence Advanced Research Projects Activity held a fingerprint data collection as part of the Nail to Nail Fingerprint Challenge. Participating Challengers deployed devices designed to collect an image of the full nail to nail

Compression Guidance for 1000 ppi Friction Ridge Imagery

February 24, 2014
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Kenneth Ko, Stephen S. Wood, Frederick R. Byers, Bruce Bandini, Stephen G. Harvey, Michael D. Garris
This special publication provides guidance for compression of 1000 ppi friction ridge imagery as well as an interoperability pathway between legacy 500 ppi friction ridge imagery and new 1000 ppi friction ridge image data.

Examination of Downsampling Strategies for Converting 1000 ppi Fingerprint Imagery to 500 ppi

January 22, 2013
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Lepley Margaret, Bruce Bandini, Kenneth Ko, Lindsay M. Petersen, Stephen S. Wood, Stephen G. Harvey
Currently the bulk of fingerprint data in operational is captured, processed and stored at 500 ppi using the WSQ compressed digital format. With the transition to 1000 ppi, some systems will unavoidably contain an overlap between 500 ppi and 1000 ppi

An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery

August 6, 2012
Author(s)
Shahram Orandi, John M. Libert, John D. Grantham, Kenneth Ko, Stephen S. Wood, Jin Chu Wu, Lindsay M. Petersen, Bruce Bandini
This paper presents the findings of a study initially conducted to measure the operational impact of JPEG 2000 lossy compression on 1000 ppi fingerprint imagery at various levels of compression, but later expanded to include lossless compression. Lossless

Effects of JPEG 2000 Image Compression on 1000ppi Fingerprint Imagery

May 26, 2011
Author(s)
Shahram Orandi, John M. Libert, John Grantham, Kenneth Ko, Stephen S. Wood, Jin Chu Wu
This paper presents the findings of a study conducted to measure the impact of JPEG 2000 compression on fingerprint imagery at various levels of compression. The impact of compression is measured in terms of impact to both Galton and non-Galton based

User's Guide to NIST Biometric Image Software (NBIS)

January 21, 2007
Author(s)
Kenneth Ko
This document (User's Guide to NIST Biometric Image Software (NBIS)) is renamed from the User's Guide to NIST Fingerprint Image Software (NFIS). In other word, this document is a replacement for the User's Guide to NIST Fingerprint Image software (NFIS)