SOURCES SOUGHT
A -- RFI: Non-cooperative Biometric Algorithm Development
- 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
- W15P7T11RH221
- 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 capability and innovative approaches for the development of preprocessing algorithms as well as enhanced matching algorithms. 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 is not sufficient research in the area of the supporting 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 non cooperative biometric data algorithms needs to be conducted. The government requires a thorough examination of the effectiveness of Cooperative Biometric Matching Algorithms on preprocessed biometrics and recommended modifications to both preprocessing and matching algorithms. Effectiveness in this RFI is defined as the ability to increase the confidence of correlation/match on non-cooperative biometric templates as well as decreasing the False Accept/Reject Rate. The effort involves initiating testing of Cooperative Biometric Matching Algorithms on Non-Cooperative Biometric Templates. The government will also provide access to a collection of image data assembled to reflect biometric images of the low fidelity to facilitate algorithm development. As stated previously, documenting test results and recommending modifications to the current Cooperative Biometric Matching Algorithms is a key activity. Research in optimal fusion algorithms capable of fusing Single Modal, Multi-Angle biometrics is expected. The government team is specifically seeking industry input on one or both of the following topics: Preprocessing Algorithms and Enhanced Matching Algorithms to be used on low fidelity and low quality biometric data. Responses to either one or both topics will be considered.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/notices/bb3e0c0617a9445a17b303e238a57b06)
- Place of Performance
- Address: CECOM Contracting Center (CECOM-CC) ATTN: RDER-IWP-KE (Mr. Jeff Kuderna) Fort Monmouth NJ
- Zip Code: 07703-5008
- Zip Code: 07703-5008
- Record
- SN02310244-W 20101015/101013234206-bb3e0c0617a9445a17b303e238a57b06 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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