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Synthetic Biometrics with Life-Like Appearance

Award Information

Department of Homeland Security
Award ID:
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Li Creative Technologies
25 B Hanover Road, Suite 140 Florham Park, NJ -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2010
Title: Synthetic Biometrics with Life-Like Appearance
Agency: DHS
Contract: N10PC20210
Award Amount: $99,994.28


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.  

Principal Investigator:

Qi Li

Business Contact:

Qi Li
Small Business Information at Submission:

Li Creative Technologies, Inc.
25 B Hanover Road Suite 140 FLORHAM PARK, NJ 07932

EIN/Tax ID: 383667621
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No