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Reliable Biometrics Data Quality Measure for Multi-modality Biometrics Fusion

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-07-C-0111
Agency Tracking Number: A062-084-1914
Amount: $1,579,820.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A06-084
Solicitation Number: 2006.2
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-09-25
Award End Date (Contract End Date): 2012-06-30
Small Business Information
801University SE Suite 302
Albuquerque, NM 87106
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Rob Rowe
 CTO and Vice President, R
 (505) 272-7406
Business Contact
 Matthew Ennis
Title: VP of Business Developmen
Phone: (505) 239-7865
Research Institution

This proposal is for a program that will develop a fully-functional multibiometric sensor based on multispectral imaging of the hand. Four distinct biometric signals will be collected for each hand insertion: fingerprints (4 + partial thumbprint), palmprints, skin textural characteristics, and hand shape. The multispectral aspect of the sensor provides a very robust and reliable means to collect each of the biometric sources of signal. Algorithms for biometric feature extraction and matching will be developed for each of the individual biometric sources. Score-level multibiometric fusion will be used to combine these four different biometric information sources to provide an overall matching score. One method of multibiometric fusion that will be tested is based on the quality of the individual biometric images. Therefore a component of this program will be focused on establishing suitable quality measures for each of the four biometrics contained in the whole-hand data. Based upon the excellent results generated by a proof-of-concept device generated in the first phase of this effort, it is anticipated that the multibiometric whole-hand sensor will achieve extremely high levels of biometric performance. A relatively large multi-person study will be conducted to estimate the performance characteristics of the full system.

* Information listed above is at the time of submission. *

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