Synthetic Biometrics with Life-Like Appearance

Award Information
Agency:
Department of Homeland Security
Amount:
$99,994.28
Program:
SBIR
Contract:
N10PC20210
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
1011145
Solicitation Topic Code:
H-SB010.1-005
Small Business Information
Li Creative Technologies, Inc.
25 B Hanover Road, Suite 140, FLORHAM PARK, NJ, 07932
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
125624432
Principal Investigator
 Qi Li
 (973) 822-0048
 li@licreativetech.com
Business Contact
 Qi Li
Phone: (973) 822-0048
Email: li@licreativetech.com
Research Institution
N/A
Abstract

S has a unique requirement to evaluate the performance of biometrics in extremely large systems. To address the requirement, we propose a novel and promising approach including three subsystems to generate large-scale realistic synthetic iris, fingerprint and face images matching the statistical and performance attributes of real-world data. For iris synthesis, we propose a novel and efficient solution, which uses patch-based sampling techniques. For fingerprint synthesis, we use Gabor-like space-variant filters for iteratively expanding an initially empty image containing just one or a few seeds. For face synthesis, we propose to develop the software on top of the commercial face generation software to generate a large-scale facial image dataset. To generate synthetic biometrics with life-like appearance, we will utilize an extensive set of biometrics features to transform synthetic biometrics into biometrics images which exhibit life-like characteristics. After generating independent biometric dataset, analysis tools will be developed to ensure all synthetic images have similar visual appearance, and texture/quality distribution compared with the real instances. After texture/quality and performance analysis, the qualified biometric images will be combined to generate a large-scale multimodal biometric dataset.

 

* information listed above is at the time of submission.

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