1 National Fingerprint-based Applicant Check Study (N-FACS) Gary L. Williams Project Manager Programs Development Section 304-625-2849 Gary S. Barron Project.

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Presentation transcript:

1 National Fingerprint-based Applicant Check Study (N-FACS) Gary L. Williams Project Manager Programs Development Section Gary S. Barron Project Team Leader Programs Development Section Scott Swann Project Engineer Information Technology Management Section

2 Creation of N-FACS  In support of the III Name Check Efficacy Study and the recommendations of the PSS Subcommittee with the support of the Compact Council, Mr. Michael D. Kirkpatrick, the CJIS Assistant Director in Charge, tasked the CJIS Programs Development Section with assembling a team to conduct the National Fingerprint-based Applicant Check Study or N-FACS.

3 N-FACS Mission To conduct a study and produce a final report exploring the feasibility of fielding a national, rapid, and positive fingerprint-based identification background check system for authorized non-criminal justice purposes.

4 N-FACS Mission Foundation  Initial research identified various pilots with a common thread – flat fingerprints.  In support of this Mission it was identified that flat fingerprints would be the cornerstone of this study.

5 Components of the N-FACS Ohio WebCheck Pilot N-FACS Final Report FBI Testing Component 1 NIST Testing Component 2 Component 3 Component 5 Texas Flat-print Initiative Latent Testing Component 4

6 Submission Similarities Ohio 10 Flat Fingerprints VS. 10 Rolled Fingerprints FBI NISTTexas

7 N-FACS Final Report  All of the information gathered from the N-FACS has been compiled in the Final Report and submitted to the Compact Council and APB for review and recommendations.

8 AFIS Segment of IAFIS AFIS/FBI is a system that provides: (1) repository maintenance services such as receipt, storage, and retrieval; (2) powerful search functions which attempt to match submitted fingerprints with fingerprints in the repository; and (3) fingerprint characteristics processing capability to derive unique aspects of fingerprints for storage and matching.

9 IAFIS Accuracy True Acceptance Rate (TAR) / Reliability

10 IAFIS Filter Rate = %CMF Passed to TP-ARG Match

11 Commonly Used Terms  Ten-print Image Search (TPIS)  True Acceptance Rate (TAR) = Reliability  False Acceptance Rate (FAR) = Selectivity  IAFIS Filter Rate  Matcher Quality Index (MQI)  Reference Count

12 Outline N-FACS Test Results Ohio WebCheck Pilot N-FACS Final Report FBI Testing Dual Submissions Flat Submissions State Idents ODRC Test NIST Testing ODRC Test Segmentation Test DPS Employee Test Texas Flat-print Initiative Latent Testing New York DCJS US Secret Service NIST Database 27

13 Ohio WebCheck Pilot Overview  July 1999 Ohio WebCheck began processing four-flats for state civil applicant checks  August 2001 Ohio BCI&I and the FBI agreed to use ten flats for the pilot  September 2001 Ohio BCI&I sent out the RFI  December 2001 Ohio BCI&I selected Cross Match and Cogent Systems  October 2002 the pilot became operational

14 Ohio WebCheck Testing  Dual Submissions – Flats vs. Rolled  Flats Only Submissions  Ohio BCI&I State Idents  Ohio Department of Rehabilitation and Correction (ODRC)

15 Ohio WebCheck Dual Submissions Test Summary  Ten-rolled and Ten-flat images captured on each applicant  Each submission processed as normal NFUF transactions  Unique ORI for flats - preventing updates within the FBI’s IAFIS  Additionally, each submission generated a TPIS transaction comparing only the flat images vs. the rolled images

16 Ohio WebCheck Dual Submissions-Results

17 Ohio WebCheck Flat Only Submissions Test Summary  02/05/2003 Meeting with Ohio BCI&I and FBI CJIS representatives  Based on the initial results from the dual submissions and the additional burden placed on the pilot agencies to collect dual submissions eliminate duals and begin submitting only flat images for applicants through the pilot sites  Each submission was processed as a normal NFUF transaction  A TPIS transaction was generated on each flat submission to compare how the flat images performed

18 Ohio WebCheck Flat Only Submissions-Results

19 Ohio BCI&I State Idents Test Summary  Ohio BCI&I provided the FBI with a total of 3,845 state civil flat applicant idents from past submissions (each submission identified had a corresponding FBI# for comparison)  A TPIS transaction was generated on each flat submission to compare how the flat images performed

20 Ohio BCI&I State Idents-Results

21 Ohio WebCheck ODRC Test Summary  Ohio BCI&I working in conjunction with the ODRC fingerprinted 925 inmates on three different capture devices (two flat capture devices and a rolled live-scan)  Ohio BCI&I provided the CJIS Division with each flat and rolled submission and the corresponding FBI# to conduct this test.  Each flat and rolled submission was submitted as a full ten-print TPIS transaction (images only) and a subsequent TPIS search containing only 8 fingerprint images excluding the two thumbs.

22 NIST ODRC Test Summary  Ohio BCI&I and the FBI provided the NIST with the data used to conduct the ODRC test  NIST duplicated this test on their version of the Lockheed Martin Corporation (LMC) AFIS Test Bed (ATB)  Each flat and rolled submission was submitted as a full ten-print TPIS transaction (images only) and a subsequent TPIS search containing only 8 fingerprint images excluding the two thumbs

23 Ohio WebCheck ODRC and NIST ATB-10 Finger Results IAFIS NIST ATB

24 Ohio WebCheck ODRC and NIST ATB-8 Finger Results IAFIS NIST ATB

25 FBI Segmentation Test Summary  This test used the plain impressions from the original live-scan submission to create a separate flat image submission for processing within IAFIS. Keep in mind the flat impressions on these submissions were originally collected to verify sequence not for the purpose of searching.

26 FBI Segmentation Test Summary  The CJIS Division collected 12,307 transactions from two different state-of-the-art live-scan devices submitted to IAFIS  Each of these ten-print transactions were received as a civil submission to IAFIS which subsequently identified to an existing FBI Number  A hybrid of the IAFIS segmentation tool was used to segment the flat images from the civil submission creating a flat TPIS transaction

27 FBI Segmentation-Results

28 Texas DPS Employee Test Summary  The Texas Department of Public Safety (DPS) provided the CJIS Division with ten flat images collected on the Cross Match ID 1000 live-scan from 254 volunteer Texas DPS employees  The Texas DPS also provided a set of rolled images from each employee acquired from paper cards using a DBA Image Clear card scan device  Finger Orientation  The rolled images were seeded into the NOE and each flat transaction was searched as a TPIS transaction

29 Texas DPS Employee-Results

30 Latent Test Summary  This test was intended to study the impact of searching latent submissions should file retention ever incorporate the storage of flat fingerprint images within the IAFIS repositories

31 Latent Test Summary  Latents previously idented on an FBI record were provided to CJIS from the New York State Division of Criminal Justice Services (DCJS) (67 latents) and the United States Secret Service (USSS) (304 latents).  Additionally, the NIST Special Database 27 was used as a resource for latent submissions (250 latents)

32 Latent Test Summary (Cont.)  Each ten-print rolled record associated with the latents collected were extracted from the IAFIS Criminal Master File (CMF)  Both the rolled fingerprint images and the segmented flat impressions from each ten-print rolled record was seeded into the IAFIS Non-Operational Environment (NOE)  The 621 latents collected were resubmitted to the IAFIS NOE optimistically anticipating both the seeded rolled and flat mates would be returned in the respective candidate list

33 Latent-Results

34 Latent-Results

35 Latent-Results

36 Potential System Changes  RRI Filter  CAXI Prescreen  ARG Match  New Technologies

37 Reference Different IAFIS Workflow to Process Flats Description Code Live-scan plain Live-scan rolled Non live-scan plain Non live-scan rolled Latent impression Latent photo Latent lift Impression Type is a mandatory element of the Type-4 or Type-14 EFTS record.

38 (1200, 275) (0, 725) (350, 1250) (750, 750) (375, 175) (1150, 575) (1600, 800) (800, 0) (0, 0) Type-14 Record

39 N-FACS Conclusions  The N-FACS test results are encouraging  Additional resources are required to process flat fingerprint-based transactions compared to resources required for rolled fingerprint searches  Fingerprint identification reliability is affected by a number of factors: type of fingerprint image, capture equipment, operator training and experience, and the IAFIS algorithms

40 N-FACS Conclusions  Enhancements have been identified to narrow the difference in rolled and flat accuracy  The development of a standard for flat capture devices will assist in improving the consistency and quality of the captured images to insure the highest search accuracy

41 N-FACS Conclusions  At this time, file retention is not recommended for any type of repository update which would replace a rolled image or rolled feature vector  The long-term recommendation for file maintenance is to retain at least one rolled and one flat record in the IAFIS repositories

42 Compact Council N-FACS Recommendations  Near-Term Implementation (within 6 months) – implement ten-flat functionality in the FBI’s IAFIS within six months  Prior to implementation finalize the draft standard for flat-capture devices  Council now recognizes ten-flats as positive identification for authorized noncriminal justice purposes

43 CJIS Advisory Policy Board N-FACS Recommendations  Support Near-Term Implementation (within six months)  Approved the standard for flat-capture devices

44 N-FACS Questions