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CHIPS Articles: NIST and IARPA partner with industry to improve fingerprinting technology

NIST and IARPA partner with industry to improve fingerprinting technology
By CHIPS Magazine - May 7, 2018
Fingerprint capture technology has advanced to the level where high-quality rolled prints soon might be obtained eliminating the need for a trained device operator, according to a new report issued by the National Institute of Standards and Technology (NIST). The latest tech advances could help law enforcement collect information-rich prints more rapidly and at less cost.

The document, NIST Interagency Report (NISTIR) 8210, Nail to Nail Fingerprint Challenge: Prize Analysis, details the methods used in a recent IARPA-sponsored challenge whose ultimate goal was to improve fingerprint capture technology. Eight finalists from industry and academia took part in the competition’s finale, the results of which IARPA announced at a March 21 workshop, NIST said.

NIST designed the experiment and evaluation criteria so that IARPA could identify the solutions and select prizewinners. The report details this background for organizations that may want to work on their own approaches to the problem, which is not yet fully solved despite the advances the challenge delivered, NIST said.

“One of the competitors brought a solution that can provide images at the capture speed, reliability and typical quality level of the traditional, operator-assisted system,” said NIST’s Elham Tabassi, one of the report’s co-authors. “The one caveat is that someone was watching and and providing feedback to the user from a distance.”

The best solution would require no human assistance at all, but even limiting the requirement to verbal guidance would be an improvement over conventional print-capturing methods.

Obtaining a high-quality image of an entire fingerprint — from one side of the nail around the fingertip to the nail’s other edge, or ‘nail to nail’ — is a demanding undertaking. It typically requires the assistance of a skilled operator who physically grasps and rolls the person’s fingers, a time-consuming process that can make the person and device operator feel uncomfortable, NIST said.

“Requiring a skilled operator in a high-speed environment like a port of entry is costly, and it can constrain print collection,” Tabassi said. “Plus, for many civilian applications, plain finger impressions provide sufficient information for verification of identities, so many real-world applications end up taking plain fingerprint impressions instead.”

Plain impressions are the commonplace sort that only need a flat press of the finger, like on a modern smartphone, according to NIST. “While they are easier to obtain without assistance, they lack detail from the edges of the finger that can be important when searching through a database of prints taken from crime scenes, for example. These unintentional (or latent) prints are often partial or off-center, showing the sides of a fingertip or bits that only a nail-to-nail scan would capture.”

“The challenge’s overall results show that the winning device is ready to produce images,” Tabassi said. “The remaining issue is how to ensure that the device can produce high-quality prints without the verbal feedback from a moderator.”

As the effort to develop a fully autonomous solution continues, the NIST report will serve as a resource for anyone who wants to design or perform a technology evaluation of fingerprint capture devices, Tabassi said. It details the experimental design and the metrics on how to evaluate the fingerprint capture technology while highlighting the parameters and constraints research teams will need to consider to obtain useful answers.

“The report focuses on ensuring that future studies will be effective,” she said. “There are many questions you need to address concerning sample size, distribution of gender and profession. You have to ask these questions or your results will be skewed toward one population group.”

Tabassi added that raw fingerprint data obtained through the challenge will be publicly released for biometric research purposes. Specifically, NIST and IARPA will release a set of nail to nail baseline and latent fingerprints from 200 study participants who consented to making their fingerprints available. All the information that could connect a specific individual to a fingerprint will be scrubbed out.

To be notified when the data are ready for release, visit the - N2N Fingerprint Capture Challenge website. Once available, researchers will be able to complete a web form and download the data directly.

In this <a href="https://cdnapisec.kaltura.com/html5/html5lib/v2.67/mwEmbedFrame.php/p/684682/uiconf_id/31013851/entry_id/0_d9q5sndr?wid=_684682&iframeembed=true&entry_id=0_d9q5sndr" alt='Link will open in a new window.' target='whole'> video created by IARPA</a>, participants and organizers of the Nail2Nail Challenge discuss the effort to develop technology that can obtain high-quality fingerprints from a human subject without requiring a trained operator’s manual assistance.
In this video created by IARPA, participants and organizers of the Nail2Nail Challenge discuss the effort to develop technology that can obtain high-quality fingerprints from a human subject without requiring a trained operator’s manual assistance.
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