Biometric Automated Toolset (

Handheld Interagency Ide

Detection Equipment (HII

Overview for NIST XML & Mobile ID 

Biometrics Task Force 

19 September, 2007 
Biometrics Automated 

Toolset (BAT) 

Digital 

Camera 

CF-73/74 

Toughbook 

BAT Enrollment Station 

Fingerprint 

Reader 

Iris 

Scanner 

• Function: BAT collects fingerprints, iris scans, facial 

biographical information of persons of interest into a 

• Scope: Over 2,000 systems deployed; 560,000+ biom• Mission Threads: Tactical Operations, Force Protecti

Operations, Population Control, Base Access, IED For

Special Operations, and Local Hire Screening / Intellig
Iris Camera 

8” 

Flash 

Handheld Interagency Iden

Detection Equipment (HII

Fingerprint Sensor Digital Face Camera HIIDE Ch

Touch Screen 

• Lightwe• Multimo

matchin

5” 

• Interope

biometr

IR Bar 

DoD bio

Data Interface 

• Function: HIIDE collects and matches fingerprints, iris images

biographical contextual data of Persons of Interest against an 

• Scope: Planned total fielding of 6,664 devices to OIF, OEF, U

Future improvements include wireless, watchlist expansion, rosearch capabilities 

• Mission Threads: Tactical Operations, Force Protection, Deta

Control, Special Operations, and Intelligence Operations 
Requirements of 

Special Operations Comm

Physical Design of Device • Future mobile identification devices must be smaller, ligh• Need to determine value of multimodal devices versus cu

fingerprints 

• If fingerprints are the best modality, are 4 prints suffi• What is the most effective platen size to achieve sup

Performance • Focused on identification of targets, not verification 

• Matches must be quick and accurate • Perform matches against entire authoritative databa

• Current systems architecture contains a web portal for m
DoD Efforts to Fulfill Mobile I

Requirements 

• DoD Mobile ID Requirements documentation bein

– JCIDS documentation (BAT CPD, SOID CDD, and – Enterprise JUONS – JROCM Last Tactical Mile task 

• Ongoing Architectural efforts will define Mobile ID 

AOR/Corps/JFLCC, and Enterprise 

• Development of system-level and operational met

success 

– System-level metrics: How are the systems perform– Operational metrics: Effectiveness of biometrics in 

strategic objectives 

• Systems acquisition in progress: 

– Spiral Development of BAT and HIIDE Systems is – Potential development of PM Biometrics Family of 
Lessons Learned 

• Current fielded mobile devices are workin

Warfigher is pleased 

• Need to define requirements upfront: 

– Purpose for the device (enroll vs. verify) – Level that mobile ID devices will be employed 

company) 

– CONOPs are important to define use cases 

• Small form factor system limitations: 

– Hardware, templates, and image quality affect 

populate and match within an internal databas

– Difficulty in synchronizing all mobile devices in 

• Logistics/Lifecycle management • Manage user expectations of the device • Leaders must understand capability Portf

Management to synchronize enterprise 
Recommendations for Wo

• Allow use of various sensor technologies 

Mobile ID requirements 

• Standards/Profiles should be based on 

operational/performance capabilities 

• Investigate interoperability/data sharing is

introduced with multiple “standards” for d

• Utilize use cases to identify and examine 

issues 

• Provide a forum for all interested parties t

current state of technology & products 
Contact Information 

MAJ Avi Isaacson Biometrics Task Force 703-602-7309 avram.isaacson@hqda.army.mil 

Mr. Arun Vemury Biometrics Task FBooz Allen Hamilt703-602-7541 arun.vemury@hq

www.biometrics.dod.mi

l
BACK UP SLIDES 
Improving Operational Cap

• Next Generation Enterprise Automated Biometric Id

– Increases capacity and improves scalability – Decreases response time to user – Incorporates multi-modal biometrics capability for m

/ matches 

• Family of Systems development 

– Ruggedized, tactical biometrics systems and device

mission sets 

– Fully interoperable with enterprise database and oth

• DoD biometrics-enabled watchlist 

– Provides list of high-threat persons of interest availa

handheld devices, as well as from enterprise level 

– Interfaces with national watchlists 
Biometrics Impacts 

Significant Operational Statistics 

• 1.5M+ Automated Biometric 

Identification System entries 

• 240,764 Matches • 167 IED Latent Matches • 193 Non-IED related latent 

matches 

“Taking away the enemymost powerful joint force War.” 

Admiral E. P. Giamba

Significant Intelligence 

• 9,527 Terrorists on D

Watchlist 

- 1,153 Tier 1 (Detain 

• Latent Prints Develo

18,036 – Iraq 

4,169 – Afghanistan 

• 9,001 Biometrics Inte

produced 

• 1070 Insurgents put 
DoD Biometrics Strate

Optimize What We 

Have 

Build Future 

Capability 

Improve the 

Existing 

Architecture 

Support and sustain legacy 

systems; increase capacity 

Field and Sustain “family of 

systems” 

Support immediate needs while building f

Objectiv

Meet Immed

Warfighter N

Systems Programs of Record, 

Biometrics Policy, Data 

Sharing, POM build 

Q4Q3Q2Q1Q4Q3Q2Q1Q4Q3Q2Q1 

FY 07 FY 08 FY 09