SOURCES SOUGHT
A -- RFI: Non-Cooperative Biometric Template Pattern Recognition
- Notice Date
- 10/13/2010
- Notice Type
- Sources Sought
- NAICS
- 541712
— Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Contracting Office
- CECOM Contracting Center (CECOM-CC), ATTN: AMSEL-AC, Building 1208, Fort Monmouth, NJ 07703-5008
- ZIP Code
- 07703-5008
- Solicitation Number
- W15P7T11RH222
- Response Due
- 10/25/2010
- Archive Date
- 12/24/2010
- Point of Contact
- Renee Gardner, 410-436-2123
- E-Mail Address
-
CECOM Contracting Center (CECOM-CC)
(renee.gardner1@us.army.mil)
- Small Business Set-Aside
- N/A
- Description
- The U.S. Army Communications-Electronic Research, Development and Engineering Center (CERDEC), Intelligence and Information Warfare Directorate (I2WD) is conducting this RFI to determine potential capabilities and innovative approaches for researching and developing a non-cooperative biometric data set. There is no architecture or system for collecting, processing, storing, or disseminating non-cooperatively collected biometrics data for ISR, exploitation, tracking, and targeting purposes. Furthermore, there are not sufficient non-cooperative biometric templates from which to train and test biometric preprocessing and matching algorithms. This RFI requests industry to provide information on approaches and best practices for accomplishing the previously stated capabilities. Specifically, more research in the area of pattern recognition on non-cooperative biometric template degradation needs to be conducted. The government requires a thorough examination of the ways in which a cooperative biometric template degrades when collected under various collection conditions. The government will provide a data set containing a limited number of individuals with their biometrics (iris scans and facial images) taken under varying collection conditions such as varying lighting, varying distance, uncontrolled subject motion and orientation, partial occlusion, etc. relative to the sensor. The government is seeking a partner in industry or academia to perform pattern recognition analysis on this data set to determine how the control images (cooperative biometric template) resolution would be degraded under varying collection environments (non-cooperative biometric template). The partner will develop these recognized patterns into algorithms capable of simulating various permutations of a non-cooperative biometric template given a set of collection conditions and a cooperative biometric template. The government team is specifically seeking industry input on one or both of the following topics: Pattern Recognition Research and Non-Cooperative Biometric Template Simulation. Responses to either one or both topics will be considered.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/notices/4dbb7e166f0f0eda3e5f1f3e578b8b60)
- Place of Performance
- Address: CERDEC, I2WD ATTN: RDER-IWP-KE (Mr. Jeff Kuderna), Building 600 Fort Monmouth NJ
- Zip Code: 07703-5008
- Zip Code: 07703-5008
- Record
- SN02310191-W 20101015/101013234132-4dbb7e166f0f0eda3e5f1f3e578b8b60 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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