ANSI/NIST-ITL WORKSHO

JANUARY 28-30, 2013 

PRESENTED BY: NAS

GARY 

Use of Mobile Biometric Devi

for Forensic Fingerprint Imag

Eric Jones, Chief of 
Introduction 

City of Stockton, Californi
Introduction

City of Stockton, Californi

Population = 291,409 Square Miles = 79 Sworn Officers = 325 (1-15-13) Patrol Vehicles = 150 

• Top 8 most dangerous City in U• Port of Stockton Classified as a 

2 Port of Entry 
Introduction 

 A Quick History 

 Fusion was developed by 3MCogent for the Departm

Defense as a joint effort to deploy a multi-model mobiometric device overseas 

 Technology was identified as potential transfer to lo

enforcement to capture latent fingerprints at crime sidentify persons of interest in near real-time 

 Field Latent Capture Pilot project was identified by S

Police Department as an opportunity to increase the cases investigated by reducing the time required to dleads 
Key Players 

 Biometric Technical Work Group  DHS S&T Patty Wolfhope, Chris Miles  Sandia Labs Chris Aldridge, Mike Epstein  Stockton Police Department 

 Police Chiefs Blair Ulring (ret.), Eric Jones  Project Management Tom Hennig, Erin Mettler  Lab Operations Capt. Aaron Rose, Darren Antonovich  Subject Matter Experts / Lab - Patricia Almeida, Can Subject Matter Experts / Field - Gary Nasello, Tatian
Persons Identified 

 Ran 900+ field capture latent prints with au

manual processing. 

 22 out of 93 crime scenes resulted in confirm

latent hits (26%) 

 From the 22 crime scenes 117 out of 187 prin

were confirmed latent hits against local arresdatabase 

 BONUS - Hit on 7 of the 11 palm prints imag

(64%) 
General Characteristics (1) 

 Purpose: 

 Adapt war fighter technology for use by local law enforcem Validate use of technology versus manual processing  Develop internal policy for use of mobile latent capture te

 Desired matching capabilities: 

 Capture at numerous crime scenes with varying environm

(surfaces, quality, lighting, etc) 

 Automated transmission to AFIS and lights out searching 

potential matches 

 Testing for improved hit rates by changing procedure, an

and capture techniques 
General Characteristics (2) 

 Database characteristics: 

 3M Cogent Automated Palm and Fingerprint Identif

System 

 400,000 prints from arrestees within San Joaquin Cou

1990 

 Automated search of field capture latent print images v

Latent Print Workstation 

 Search results verified manually by Latent Examiner  Results returned to Fusion and local custom-built webs Currently awaiting upgrade for AFIS system which will 

enhanced secondary searching utilizing third level deta
Mobile Unit Description 

 Mobile Unit Data Captured: 

 1-1 image capture assured when using tri-pod  Transmitting image to local AFIS system via secure 3-G c

connection 

 Form Factor / User Interface 

 Military grade 3M Cogent Fusion Multi Modal biometric 

device 

 Touch screen optional  Image quality listed during capture process  Lights to indicate processing state (yellow – captured / gr

transmitted / green – results available on web page) 

 Minimal training required to operate device  Web page results linked to local multi-agency records dat
Data Exchange Details 

 Fingerprints to local AFIS for matching to mug s

Records Management Systems  Unique identifier for the transaction and device  Field transaction results available without lab tech interv

 Latent image transmitted  Metadata requirements be analyzed as part of th

II project implementation 

 Latent image may not currently meet quality sta

of ANSI/NIST-ITL in order to be usable and havassociated metadata to ensure traceability to the employer and worker. 
Image = Results = Arrest 

Latent Image 

AFIS Hit Image 
Other images resulting in arrest

SPD Case #11-44592 – Stolen Vehicle Arrest – Fusion ID FUSL
Other images resulting in arrest

SPD Case #12-13950 – Illegal possession of a firearm – Fusion 
Other images resulting in arrest

SPD Case #12-18768 – Assault with a deadly weapon – Fusion I
Other images resulting in arrest

SPD Case #12-22128 – Homicide – Fusion ID #0006
Lessons Learned 

 Lighting is the most significant factor in capt

quality detail from field latent prints 

 Camera angle and curved surfaces must alwa

reduced as much as possible. 

 Location of latent will often create a difficult 

angle for the field technician. 

 Battery charge can occasionally create proble

Always keep a charge. 

 Reflections from shiny surfaces can create ho

in the photo image. 
Future Plans 

 Increased use of Fusion Include Geo code, time and date stamp with

transactions

 Develop standards for use of device Testing lighting, surface and camera angle Tracking results Testing other device if available Adoption of formal use policies Documentation of court related actions Continued coordination with District Attorn