Noblis Biometrics & Forensics Capabilities Summary 

Capability	Examples
Collection Systems Research	Developed and deployed milestone, “game-changing” DNA field collection and analysis technology (details classified). Researched and developed image quality requirements for face recognition from surveillance video. Developed the Multimodal Biometric Accuracy Research Kiosk, or MBARK, an open source reference implementation for biometric data collection. Evaluated the usability of biometric data collection systems and provided recommendations and guidelines for the human computer interface. Developing a prototype multispectral iris collection system.  Phase II will involve developing a visible light to near infrared transform for cross spectral matching.  Phase III will involve development of multispectral fusion algorithms.
Sub-Optimal Data Enhancement and Next-Generation Algorithm Development	Developed and maintain the Universal Latent Workstation (ULW), the FBI’s latent fingerprint image processing and encoding client software distributed to federal agencies, states and localities, which has been used to identify thousands of criminals. Developed and maintain the Universal Face Workstation (UFW), leveraging best practices learned from ULW development; UFW supports both Face and Iris processing and encoding. Examined and published key face image quality factors and their impact on face recognition performance. Developed image forensics algorithms to automatically detect images that have been altered and to identify likely copy and paste scenarios. Developing system to extract face, iris, and ear biometrics from still and video sequences in faster than real time. Developing tools and algorithms to rapidly detect, retrieve, and summarize the biometric content of image and video files from large data repositories, even when they have been deliberately obfuscated.
Biometrics Data Fusion	Conducted the most extensive evaluation of biometric fusion yet conducted, using face and multi-fingerprint data from over 187,000 subjects. Provided support to Next Generation Identification and US-VISIT incorporation of multi-modal biometrics fusion technology. Conducted, published and presented research on approaches to multi-biometric fusion of face and fingerprint data and developed an integrated network queuing model with biometric fusion approach.
Biometrics Architecture	Chaired and coordinated a high-profile, international, ANSI/NIST Committee to Define an Extended Fingerprint Feature Set (CDEFFS) to define the next generation of fingerprint features, in conjunction with government agencies, the latent fingerprint community, AFIS vendors and academia.
Test and Evaluation	Analyzed performance of flat/slap fingerprints for searching IAFIS. Conducted the first rigorous evaluation of slap segmentation algorithms (SlapSeg04). Conducted the largest-ever evaluation of Fingerprint Vendor Technology (FpVTE). Analyzed performance of searching two INS index finger prints against IAFIS; estimated performance of multiple finger searches.
Development Support for the top US biometrics systems in ALL capability areas described above	IAFIS: Fingerprint matching NCIC 2000: Fingerprint matching IDENT/IAFIS: Integration of fingerprint matching systems Next Generation Identification: IAFIS follow-on; all biometric modalities + fusion State Department Passport/Visa: Face and Iris Recognition US-VISIT systems: all biometric modalities + fusion Universal Latent Workstation: Latent fingerprints