| NSF Org: |
TI Translational Impacts |
| Recipient: |
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| Initial Amendment Date: | May 13, 2015 |
| Latest Amendment Date: | March 1, 2017 |
| Award Number: | 1540958 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Jesus Soriano Molla
jsoriano@nsf.gov (703)292-7795 TI Translational Impacts TIP Directorate for Technology, Innovation, and Partnerships |
| Start Date: | February 23, 2015 |
| End Date: | February 28, 2018 (Estimated) |
| Total Intended Award Amount: | $233,332.00 |
| Total Awarded Amount to Date: | $233,332.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
8 CLARKSON AVE POTSDAM NY US 13676-1401 (315)268-6475 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
8 Clarkson Avenue Potsdam NY US 13699-9000 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Accelerating Innovation Rsrch |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.084 |
ABSTRACT
This PFI: AIR Research Alliance project focuses on the translation and transfer of sensor and software middleware technologies to fill the security and performance limitations present in current biometric recognition systems. The technologies have the following market-valued features: accurate detection of spoofing attempts in fingerprint, iris and face recognition, and sensor interoperability enhancements for biometric systems. They will provide significant performance and security benefits when compared to the leading commercial systems currently available in the biometrics market. The project accomplishes this transfer of research products to the market through the development of robust software, systems and processes. The outcomes include creation of new high tech jobs in West Virginia?s I-79 technology corridor and in St. Lawrence County, New York, commercial products for the growing biometric authentication market, with the potential to license the products and create a spinoff. The partnership engaged to transfer the technologies to the market domain include commercial companies affiliated with the Center for Identification Technology Research (CITeR) at West Virginia University and Clarkson University, including the research and commercialization partner NexID Biometrics, LLC and technology investors, Morpho and Seaway Private Equity Corp. The potential economic impact is expected to be the range of five to ten million dollars in the next five years, which will contribute to the U.S. competitiveness in the biometric security market space. The societal impact will address the national security needs for accurate human identification as well as quickly expanding commercial authentication markets. The project will develop new pathways for the creation of entrepreneurial workforce through student-led project teams. The activities will benefit from our strong commitment to bringing research and educational opportunities to students from the underrepresented groups. The project will serve as a catalyst and a unique model for much needed technology-based economic growth in West Virginia and upstate New York.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
This project focused on creating an innovation ecosystem and included technology improvement, readiness assessment, market studies and commercialization path development. The technology readiness assessment phase resulted in the selection of the following technology for further development and prototyping: (1) Fingerprint interoperability middleware, and (2) Liveness detection software, including fingerprint, face, and iris liveness detection.
Fingerprint sensor interoperability is the ability of a fingerprint-based biometric system to compensate for image variability due different types of sensors. Typical variations observed in fingerprint images acquired by different sensors are image resolution, scanning area and grey level characteristics. Such variations can impact the ability to match effectively.
Liveness detection protects biometric systems from the threat of forgery, commonly termed “spoofing”. It has been demonstrated that a fake finger, iris, or face can be created easily using common household materials like gelatin. To combat this threat, many countermeasures exist, including liveness detection. Liveness detection approaches measure characteristics of the biometric trait that are indicative of a living biological sample, in this case, through software.
For both projects, commercial versions of the software were created and market feasibility assessments were performed. Outcomes included publications, patent applications, as well as awarded patents. Fingerprint liveness detection technology was commercialized as part of the sale of NexID Biometrics, one of the project’s partners, and has been integrated into both commercial and government biometric recognition systems.
Additionally, the development of a network of connections between university researchers, industry developers, business experts, and economic development agencies, led to the creation of an effective innovation ecosystem.
Last, educational programs were created to prepare graduate students who understand innovation and entrepreneurship and take the leadership in the entrepreneurial opportunities created by the center.
Last Modified: 06/21/2018
Modified by: Stephanie C Schuckers
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