PROTECT Act and Other Federal Initiatives

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National Fingerprint-based

Applicant Check Study (N-FACS)

Gary L. Williams

Project Manager

Programs Development Section

304-625-2849

Gary S. Barron

Project Team Leader

Programs Development Section

304-625-2714

Scott Swann

Project Engineer

Information Technology Management Section

304-625-2477

1

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.

2

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.

3

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.

4

Components of the N-FACS

N-FACS

Final Report

Ohio

WebCheck

Pilot

Component 1

NIST

Testing

Component 2

FBI

Testing

Latent

Testing

Component 3 Component 4

Texas

Flat-print

Initiative

Component 5

5

Submission Similarities

10 Flat Fingerprints

VS.

10 Rolled Fingerprints

Ohio

Texas NIST

FBI

6

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.

7

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.

Start at

45,000,000

Candidates

Ten-print Search CMF

Reduced

Search Set

RRI Filtering

Further Reduced

Search Set

Further Reduced

Search Set

Further Reduced

Search Set

Pattern

Class / Ridge

Count Filter

(PC/RC)

Indeterminate

Ridge

Count (IRC)

Focal Point

Filter (FPF)

CAXI

Prescreen

TP-ARG

Match

Candidate

List

8

IAFIS Accuracy

True Acceptance Rate (TAR) / Reliability

Start at

45,000,000

Candidates

Ten-print Search CMF

Reduced

Search Set

RRI Filtering

Further Reduced

Search Set

Further Reduced

Search Set

Further Reduced

Search Set

Pattern

Class / Ridge

Count Filter

(PC/RC)

Indeterminate

Ridge

Count (IRC)

Focal Point

Filter (FPF)

CAXI

Prescreen

TP-ARG

Match

Candidate

List

9

IAFIS Filter Rate

= %CMF Passed to TP-ARG Match

Start at

45,000,000

Candidates

Ten-print Search CMF

Reduced

Search Set

RRI Filtering

Further Reduced

Search Set

Further Reduced

Search Set

Further Reduced

Search Set

Pattern

Class / Ridge

Count Filter

(PC/RC)

Indeterminate

Ridge

Count (IRC)

Focal Point

Filter (FPF)

CAXI

Prescreen

TP-ARG

Match

Candidate

List

10

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

11

Outline N-FACS Test Results

N-FACS

Final Report

Ohio

WebCheck

Pilot

Dual Submissions

Flat Submissions

State Idents

ODRC Test

NIST

Testing

ODRC Test

FBI

Testing

Latent

Testing

Segmentation Test New York DCJS

US Secret Service

NIST Database 27

Texas

Flat-print

Initiative

DPS Employee Test

12

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

13

Ohio WebCheck Testing

Dual Submissions – Flats vs. Rolled

Flats Only Submissions

Ohio BCI&I State Idents

Ohio Department of Rehabilitation and Correction

(ODRC)

14

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

15

Ohio WebCheck

Dual Submissions-Results

Ohio WebCheck Pilot

Dual Transactions Received October 23, 2002 – February 10, 2003

TPIS Searches performed within IAFIS (feature searches)

Average Filter Rate

Average Candidate Score

Average MQI (Matcher Quality

Index)

Average Reference Count

Identifications or Candidates

Returned Common to both

Flat and Rolled

Known Misses

TAR/Reliability

Cross Match 442

Flats

469

8.64

24594.09

52.46

45.49

50

3

94.3%

Heimann LS2

Flats

586

5.45

29193.90

60.75

38.90

41

1

97.6%

Total

Flat

1055

Inked

Rolled

933

6.87 6.52

26784.48 27786.95

57.04

41.85

91

4

95.8%

79.80

40.97

91

6

93.8%

16

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

17

TPIS Submitted to IAFIS

True Candidate Returned

IDENT Rate

False Candidate Returned

Known Misses

TAR / Reliability*

FAR / Selectivity

Average Filter Rate

Average MQI

Average Reference Count

Average Score

Rejects on NFUF (Image

Quality Related Errors)

Reject Rate (Image Quality

Related Errors)

Ohio WebCheck Flat Only

Submissions-Results

OWC Flats Only Pilot

Cross Match 442

5268

865

16.42%

0

37

95.90%

0.00%

9.51%

54.03

45.68

24549.08

174

Heimann LS2

5690

767

13.48%

0

18

97.71%

0.00%

5.88%

59.25

39.68

27539.49

33

3.30% 0.58%

Total

10958

1632

14.89%

0

55

96.74%

0.00%

7.63%

56.74

42.56

25954.5

207

1.89%

18

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

19

Ohio BCI&I State Idents-Results

TPIS Submitted to IAFIS

Removed (Expunged)

Removed (Non-ident)

True Candidates Returned

False Candidates Returned

Known Misses

Reliability (TAR)

Selectivity (FAR)

Average Filter Rate

Average MQI

Average Reference Count

Average Score

Cross Match 442

2660

5

5

2505

0

145

94.53%

0%

7.82%

53.73

42.91

26041.19

Heimann LS2

1185

3

1

1142

0

39

96.70%

0%

5.92%

58.90

38.71

27399.80

Total

3845

8

6

3647

0

184

95.20%

0%

7.23%

55.32

41.62

26473.88

20

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.

21

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

22

IAFIS

Ohio WebCheck ODRC and

NIST ATB-10 Finger Results

TPIS Submitted to IAFIS

Rejects (No Fingerprint Images)

No FBI# in IAFIS

Candidates Returned

Misses

Reliability (TAR)

Average Filter Rate

Average MQI

Average Score

Average Reference Count

NIST ATB

TPIS Submitted to ATB

Reliability (TAR)

Average Filter Rate

Cross Match 442

Flats

925

2

2

885

36

96.1%

7.46%

53.28

28056.27

40.85

Cross Match 442

Flats

925

95.8%

7.2%

Heimann LS2 Flats

925

0

2

907

16

98.3%

4.63%

60.74

30431.10

35.74

Heimann LS2 Flats

925

97.5%

4.5%

Identix TP-600

&

Identix TP-2000

Rolled

925

0

2

909

14

98.5%

1.35%

111.05

40342.92

28.88

Identix TP-600

&

Identix TP-2000

Rolled

925

97.9%

1.3%

23

IAFIS

TPIS Submitted to IAFIS

Rejects (No Fingerprint Images)

No FBI# in IAFIS

Candidates Returned

Misses

Reliability (TAR)

Average Filter Rate

Average MQI

Average Score

Average Reference Count

Ohio WebCheck ODRC and

NIST ATB-8 Finger Results

Cross Match 442

Flats

925

2

2

891

30

96.8%

16.09%

53.28

28056.27

42.96

Heimann LS2 Flats

925

0

2

912

11

98.8%

10.89%

60.74

30431.10

37.32

Identix TP-600

&

Identix TP-2000

Rolled

925

0

2

916

7

99.2%

4.01%

111.05

40342.92

29.01

NIST ATB

TPIS Submitted to IAFIS

Reliability (TAR)

Average Filter Rate

Cross Match 442

Flats

925

96.5%

15.5%

Heimann LS2 Flats

925

98.2%

10.5%

Identix TP-600

&

Identix TP-2000

Rolled

925

98.5%

3.9%

24

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.

25

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

26

FBI Segmentation-Results

TPIS Submitted to IAFIS

Removed (Expunged)

True Candidate Returned

False Candidate Returned

Known Misses

TAR / Reliability

FAR / Selectivity

Average Filter Rate

Average MQI

Average Reference Count

Average Score

FBI SEGMENTATION TEST

Flat Submissions Rolled Submissions

Total Live-Scan A Live-Scan B Total Live-Scan A Live-Scan B

12307 5067 7240 12307 5067 7240

30

9005

9

3306

21

5699

30

11852

9

4849

21

7003

0

3272

0

1752

0

1520

0

425

0

209

0

216

73.35% 65.36% 78.94% 96.54%

0.00% 0.00% 0.00% 0.00%

4.17% 4.28%

55.56 55.31

33.57 34.91

4.09%

55.74

32.63

2.48%

94.96

32.09

95.87%

0.00%

3.06

90.69

33.49

97.01%

0.00%

2.07%

97.94

31.11

27996.33 26507.23 28860.2 42476.6 40482.01 43854.7

27

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 5011031 card scan device

Finger Orientation

The rolled images were seeded into the NOE and each flat transaction was searched as a TPIS transaction

28

Texas DPS Employee-Results

SEGMENTATION TEST

Prints Provided by Texas

Failed Segmentation

TPIS Submitted to IAFIS NOE

True Candidate Returned

False Candidate Returned

Misses

TAR / Reliability

Average Filter Rate

Average MQI

Average Reference Count

Average Score

195

5

190

160

0

30

84.2%

5.4%

55.2

35.4

21809.6

29

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

30

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)

31

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

32

Latent-Results

NIST SPECIAL DATABASE 27 (Good, Bad, &Ugly)

Hit only roll 56

Hit only flat 17

Hit both roll higher score

Hit both flat higher score

Miss both rolled and flat

Total Submissions

Rolled TAR

Flat TAR

46

34

97

250

54.4%

38.8%

33

Latent-Results

Hit only roll

Secret Service Summary

Hit only flat

Hit both roll higher Score

Hit both flat higher score

Miss both rolled and flat

Total Submissions

91

9

115

98

0

313

Rolled TAR

Flat TAR

97.1%

70.9%

34

Latent-Results

New York DCJS Summary

Hit only roll

Hit only flat

Hit both roll higher Score

Hit both flat higher score

Miss both rolled and flat

Total Submissions

45

7

39

33

1

125

Rolled TAR

Flat TAR

93.6%

63.2%

35

Potential System Changes

RRI Filter

CAXI Prescreen

ARG Match

New Technologies

36

Reference Different IAFIS

Workflow to Process Flats

Impression Type is a mandatory element of the Type-4 or Type-14 EFTS record.

Description

Live-scan plain

Live-scan rolled

Non live-scan plain

Non live-scan rolled

Latent impression

Latent photo

Latent lift

Code

6

7

3

4

0

1

2

37

(0, 0)

Type-14 Record

(375, 175)

(800, 0)

(1200, 275)

(0, 725)

(350, 1250)

(750, 750)

(1150, 575)

(1600, 800)

38

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

39

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

40

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

41

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

42

CJIS Advisory Policy Board

N-FACS Recommendations

Support Near-Term Implementation (within six months)

Approved the standard for flat-capture devices

43

N-FACS

Questions

44

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