Can you build the best autonomous nail to nail fingerprint capture device?
Registration begins on February 6th
Develop the best autonomous nail to nail fingerprint capture device
HOW TO ENTER
Register on Challenge.gov by March 17, 2017 to enter the challenge
Win $100,000 for the best usable matching system
BE PART OF THE INNOVATION
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:
Promote and benchmark research in biometrics applied to nail to nail fingerprint scanning
Stimulate various communities to develop and enhance automated methods to derive accurate nail to nail finger print scanning comparable to existing fingerprint capture standards for accuracy, speed, and latent capture accuracy
Foster innovation through crowdsourcing and to remove the need for a human operator and to move beyond current research limitations for nail to nail fingerprint scanning
Cultivate and sustain an ongoing collaborative community dedicated to this technology and research
The Challenge will consist of three stages: Registration & Feasibility Review, Development & Judging, and The Final Live Test Event.
Stage 1: Registration and Feasibility Review
All challenge builders need to fill out a registration form providing information about their proposed solution in order to participate in the challenge. Applications should not be more than 2 pages and should describe the anticipated solution with as much detail as possible.
Register for the challenge by March 17, 2017 by visiting Challenge.gov
IARPA will review all applications and provide feedback to each builder to determine how feasible each proposed solution is and to assist each applicant's success rate into reaching Stage 2.
Stage 2: Development and Judging
Builders will have until July 2017 to develop their solution for the N2N challenge. Builders will be asked to submit sample fingerprint imagery from 3 subjects collected from their systems along with a short video of the system as a "proof of build" and certification to attend the Test and Evaluation (T&E) event taking place in September 2017. Devices will also be evaluated for safety at this time. Winners may continue to further refine their devices prior to the live test.
In the final stage, the government will conduct a live test where human subjects will present finger biometrics to each builderís developed system at a test facility.
To support testing, challenge participants are responsible for operating their own capture device during the testing, ensuring safety and Institutional Review Board (IRB) compliance of the developed system, and providing collected data in the specified format for Evaluation. Testing will include collection of baseline data using current ìgold standardî techniques for N2N, using a skilled operator, and latent fingerprints. Two baseline systems will be used to collect N2N data by the government.
Builders who reach this stage will get to keep any fingerprint data collected by their devices and gain an opportunity to demonstrate their devices to a number of high-level government stakeholders.
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.
Plain and Rolled Images from Paired Fingerprint Cards (500 PPI)
Provides a reference of 216 paired fingerprint cards that include all ten rolled fingerprints and the plain/flat impressions at the bottom each card
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.
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).