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Biometrics and Integration

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Bob Geller. Robert James Stevenson. Eric Allen Johnson. Alias Dates ... (compare to other states in Brady study) Unmatched dispositions stay in 'Suspense' file ... – PowerPoint PPT presentation

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Title: Biometrics and Integration


1
Biometrics and Integration
  • In the State of Minnesota

2
Panelists
  • Judge Thomas McCarthyMinnesota 1st Judicial
    District
  • Thomas Merkel, InspectorHennepin County
    (Minneapolis) Minnesota Sheriffs Office
  • Jerry Olson, Project ManagerMN Bureau of
    Criminal Apprehension
  • Carol Renn, AdministratorCarver County Minnesota
    Courts

3
Overview
  • Minnesota has done a lot of work that we believe
    is improving public safety.
  • We will show you the process we are going
    through, where we are, where we are heading, and
    what our issues are.

4
Introduction
  • Minnesota, like most states, has been using
    biometrics for identification purposes for many
    years.
  • Minnesotas Goals for criminal justice subjects
  • Who are they
  • What have they done
  • Where are they in the process
  • We are continuing to improve our processes and we
    are far from finished.

5
The Case for Biometrics
  • Kerry Dean Stevenson
  • Date of Birth 04/29/58

AKA Kerry Dean Geller Keith Allen Brummer Bob
Stevenson Robert Mark Geller James
Heidelberg Richard Lee Olson Bob Geller Robert
James Stevenson Eric Allen Johnson   Alias Dates
of Birth 03/29/55, 05/11/58, 01/24/61, 05/05/55,
04/29/55, 03/27/48, 04/24/54
6
Total Offenses 21 On State Criminal History Data
Base 6
7
Where We Started
  • Paper based system in 1980s
  • Audit of MN Conducted by Arthur Anderson
  • Objectives Evaluated CCH for completeness,
    accuracy and timeliness
  • Audit of 1990 data showed

8
We started automating 1990s
  • Upgraded CCH
  • Upgraded AFIS
  • Created MNet data network and CJDN
  • Began looking at statewide criminal justice
    information sharing (later called CriMNet)
  • Added electronic pass from courts(Nightly batch
    of current dispositions)

9
Consequences of Changes
  • Electronic pass from Courts
  • Nightly pass that updates criminal history within
    3 days of court action
  • Minnesota only updates criminal history if name,
    DOB, controlling ORI, and case number all match a
    fingerprint based arrest record(compare to other
    states in Brady study)
  • Unmatched dispositions stay in Suspense file

10
CriMNet
  • CriMNet is a program which is developing a
    statewide integration plan that includes and
    incorporates local planning and implementation
    efforts, paying particular attention to the
    collaborative reengineering of business
    practices.
  • CriMNet sponsors a number of state and local
    projects to accomplish this, some executed within
    the CriMNet office.

11
CriMNet Building Blocks
  • Define state standards for interoperability
    including
  • Service Oriented Architecture (SOA)
  • XML (Extensible Markup Language)
  • W3C Standards (World Wide Web Consortium)
  • WSDL files (Web Services Description Language)
  • Justice XML
  • JXDD (Justice XML Data Dictionary)
  • Legal XML
  • J2EE (Java 2 Enterprise Edition)

12
CriMNet Initiatives
  • A sample of CriMNet projects include
  • Suspense File
  • Livescan Rollout
  • Card Handler
  • Minnesota Repository of Arrest Photographs (MRAP)
  • Minnesota Court Information System (MNCIS)
  • Electronic Linking

13
Dimensions to CriMNet Initiatives
  • Policy Governance
  • Policy Group
  • Cooperation of Stakeholders
  • Task Forces
  • Business Practices
  • Consulting
  • Technology Collaboration
  • Grants to Local Agencies

14
Suspended Court Actions
  • Suspense was identified shortly after electronic
    pass from Courts began
  • Suspense grew but was not managed
  • 1999 Legislature mandated team to resolve
    Suspense and reduce flow

15
Suspense Volume
1999
  • Legislation took effect June 2000
  • Legislation targeted the backlog and the new
    additions to Suspense
  • We refer to it as the tub and flow

38
451,335
2004
11
117,661
16
LiveScan Rollout
  • Intended to update CCH faster and prevent
    Suspense
  • Currently 167 Livescans placed in all 87 counties
  • All but 16 Livescans transmitting electronic
    bookings to state AFIS/CCH
  • Livescan rollout had consequences

17
Livescan Issues
  • Local business processes impacted by mandatory
    data requirements
  • Multiple printing for same arrest when both local
    PD and Sheriffs Office have Livescan
  • Locals have concerns about resources (cost
    human)
  • Just because we have Livescans does not mean we
    are getting all the fingerprints (e.g. summons)
  • Placing Livescans at courts
  • Collaborating with prosecutors and Judges to
    verify prints
  • System improvements can help flag missing prints
  • Problem not always solved by technology

18
AFIS Card Handler
  • Livescan alone does not establish identity
  • Card Handler is the central site traffic cop
    for processing Livescan submissions
  • Allows processing of bookings within 2 hours
    (typically 30 min.)

19
MRAP
  • In 2000 the legislature funded enhancing
    biometric identification
  • Established the Minnesota Repository of Arrest
    Photos (MRAP)
  • Statewide database for electronic line-ups and
    investigation
  • Includes facial recognition
  • Initially 50 of Minnesotas 87 county jail
    facilities participate

20
MRAP Sample
21
MNCIS Court System Upgrade
  • The Minnesota Court Information System will
    replace the current County based and case based
    system with one that is person based and
    statewide.
  • At beginning of rollout now. Expected to be
    installed statewide by the end of 2007.
  • Will add data validation at initial court filing
    to see if the disposition is heading for Suspense
    (interim solution until biometric based).

22
MNCIS Sample Screen
23
Flat Print ID
  • A rapid ID process based on two index finger flat
    prints. All processing is lights out.
  • Provides a biometric ID of suspect within 2
    minutes to an officer in the field.
  • Not a substitute for 10-Prints

AFIS
IBIS Server
Wireless Comm.
Demographic Files (CCH)
Warrant Files
Gang Files
24
Flat Print ID
  • Currently 70 wireless and one hard-wired devices
    are in use as part of the Hennepin County
    (Minneapolis) IBIS project.
  • Want/Warrant databases are name based.
  • Fingerprint is converted to SID,
  • SID is converted to name and DOB for warrant
    search.
  • Wireless coverage is an issue outside of Metro
    areas.

25
Electronic Linking
Current
  • MN has a fingerprint supported CCH and a mugshot
    system (MRAP) but the databases are not linked.
  • The Electronic Linking project will establish a
    mechanism to link the fingerprints and mugshots
    captured during a booking.

Concept
26
Electronic Linking
  • The project is currently analyzing potential
    solutions.
  • Considerations include
  • Both the mugshot capture and Livescan devices
    create a unique event ID
  • Local business process variations complicate the
    analysis. Some photo first, other fingerprint
    first.
  • Having vendors make changes is very expensive.
  • We are looking at cross referencing based upon
    multiple keys.

27
Future Projects Under Consideration
  • Integrated Criminal History System
  • Re-engineering of business processes and systems
    relating to criminal history and fingerprints.
  • Flat Prints/Rapid ID at Courts
  • 2-Finger rapid ID could be used to biometrically
    link arrest and court disposition.

28
Issues We See
  • Data practices
  • sharing data statewide)
  • sharing nation wide
  • Maintaining data link throughout process (avoid
    Suspense). Biometrics can help.
  • Full prints once, verify ID after? For some
    crimes?
  • Many states use unique event number but it does
    not solve all MN problems
  • Strong vs. Weak Biometrics
  • Biometric linked SID vs. Manually Entered SID

29
Business Practices Issues
  • Collaboration - Who is ultimately responsible for
    assuring fingerprints are captured?
  • Law Enforcement Budget, Jurisdictional Issues
  • Prosecutor E-Complaint, Offender Tracking Form
  • Court Administration Early identification of
    needed prints, Monitoring and distribution of
    information to other agencies.
  • Judges Impartiality vs Ensuring correct
    defendant
  • Court System investing in enhancements to MNCIS
    and integration technology to flag fingerprint
    status

30
Conclusion
  • Biometrics are important for assuring criminal
    justice data integrity
  • Technology does not solve all problems
  • The more problems we solve, the more issues arise
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