Thank you to all who participated in the N2N Live Test held on September 18-22, 2017. The challenge is complete.
IARPA is conducting the Nail-to-Nail Fingerprint Challenge to invite the broader research community of industry and academia to participate in a convenient, efficient, and non-contractual way. IARPA's use of a crowdsourcing approach to stimulate breakthroughs in science and technology also supports the White House's Strategy for American Innovation, as well as government transparency and efficiency. The goals and objectives of the Challenge are to:
The Challenge will consist of three stages: Registration & Feasibility Review, Development & Judging, and The Final Live Test Event.
The top builders who complete Stage 3 will be eligible to win cash prizes from a total prize purse of $290K. Prizes will be distributed for the following criteria:
Read the full rules and challenge eligibility document for the N2N challenge by downloading the PDF below:
Of the fifteen teams that began the N2N Challenge, eight teams that made it to the final stage. Teams' devices were judged on existing fingerprint capture standards for accuracy, speed, and latent capture accuracy. Winners include:No winner was announced for the Grand Prize.
The data collected from the challenge will be available Summer/Fall 2018. To be notified of its release, email email@example.com or go to https://groups.google.com/a/list.nist.gov/forum/#!forum/n2n-data/join.
To assist builders in this challenge, IARPA has gathered a list of resources to prepare for each stage in the challenge. You can find a number of sample datasets, reference capture methods, evaluation guides, and technical documents to support your submissions.
Provides a reference of 216 paired fingerprint cards that include all ten rolled fingerprints and the plain/flat impressions at the bottom each cardLearn More
Provides a reference for evaluation of large 1-to-many fingerprint identification algorithms using enrollment sample sizes in the multi-millionsLearn More
FVC-onGoing is a web-based automated evaluation system for fingerprint recognition algorithms. Tests are carried out on a set of sequestered datasets and results are reported on-line by using well known performance indicators and metrics.Learn More
Demonstrates the current standard for Nail to Nail fingerprint capture. Builders must propose and create a device that can achieve this capture output without a human operator.Learn More
NIST suggests a series of guidelines for lossless fingerprint compression from NIST SP 500-289Learn More
A case study on a multi-camera touchless device to acquire 3d rolled-equivalent fingerprintsLearn More
Open-source software for processing and analyzing biometric dataLearn More
NIST's GitHub repository for any builders who want to use a custom algorithm in their deviceLearn More
A selection of definitions for various terms used throughout the challengeLearn More
Provides a reference on how NIST assesses and evaluates fingerprint vendor technology, which includes specific measures for accuracy and timeLearn More
Provides a reference release agreement for making collected biometrics data open to the publicLearn More
Here is a zip file containing all the slides presented during the N2N Challenge Workshop on March 21, 2018Download Files
The Intelligence Advanced Research Projects Activity (IARPA) invests in high-risk, high-payoff research programs to tackle some of the most difficult challenges of the agencies and disciplines in the Intelligence Community (IC).