A Fusion Based Tactical Biometric Registration and Recognition Toolset

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-06-P-0057
Agency Tracking Number: S061-004-0057
Amount: $97,604.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SOCOM06-004
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-09-12
Award End Date (Contract End Date): 2007-03-12
Small Business Information
47 Constitution Drive, Bedford, NH, 03110
DUNS: 621797000
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lou Ezzio
 Principal Technical Staff
 (603) 472-4934
 lou@ssc-nh.com
Business Contact
 Randy Hencke
Title: VP Advanced Systems
Phone: (603) 472-4934
Email: randy@ssc-nh.com
Research Institution
N/A
Abstract
Human biometric recognition systems are essential in the automated personal identification and verification applications market. This market spans the commercial and military sectors to include a myriad of identification applications from secure entrance, to time card clocks, to bio-certified delivery systems, to automobiles that recognize their drivers, to money transaction systems, to weapons that recognize their owners, etc. A Fast Pattern Recognition (FPR) algorithm has been developed and tested that demonstrates exceptional multi-modal performance in fused facial recognition, palm-print recognition, and fingerprint recognition even under degraded conditions. This same algorithm has also demonstrated exceptional performance on voice recognition and is easily configured to operate on any input that exhibits a pattern, e.g. iris scan. The FPR algorithm is not based on the typical approaches employing eigenfaces, minutia, wavelets, or other models and transforms, but uses specialized pattern processing to compare input features against enrolled features within a database. It is envisioned that this algorithm technology (currently a total software-implementation on a Laptop computer) coupled with conventional biometric tools will demonstrate superior performance as a general purpose biometric recognition toolset for commercial and-or military systems requiring multi-modal biometric fusion based personal identification.

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

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