i

OSAC Technical Guidance Document 0007

Introduction to Application Profiles 

for Facial Searching

https://doi.org/10.29325/OSAC.FI.0007

OSAC Facial and Iris Identification Subcommittee 
ii

OSAC Technical Guidance Document 0007

Introduction to Application Profiles 

for Facial Searching

Prepared for 

The Organization of Scientific Area Committees (OSAC) for Forensic Science 

Prepared by

The OSAC Facial and Iris Identification Subcommittee

October 2023
iii

Document Disclaimer:

This OSAC Technical Guidance Document was produced using a consensus process within the 

Organization of Scientific Area Committees (OSAC) for Forensic Science and is made available 

by the U.S. Government. All OSAC members had an opportunity to comment on the document 

and provide suggestions for revisions on this OSAC Technical Guidance Document. The views 

expressed in the document do not necessarily reflect the views or policies of the U.S. Government. 

The document is provided “as is” as a public service, and the U.S. Government is not responsible 

for its contents. 

Any mention of commercial equipment, instruments, or materials in this Technical Guidance 

Document does not imply recommendation or endorsement by the U.S. Government; neither does 

it necessarily imply that the materials or equipment identified are the best available. 

Copyright Status:

Contributions to the OSAC Technical Guidance Documents made by employees of the U.S. 

Government acting in their official capacity are not subject to copyright protection in the United 

States. The Government may assert copyright to such contributions in foreign countries. 

Contributions to the OSAC Technical Guidance Documents made by others are generally subject 

to copyright held by the authors or creators of such contributions, all rights reserved. Contributors 

have granted to the National Institute of Standards and Technology (NIST) or NIST’s contractors 

the non-exclusive, irrevocable, royalty free, worldwide right and to use, and grant to others the 

permission to use, the content derived from such contributions. Use of the OSAC Technical 

Guidance Documents by third parties must be consistent with the copyrights held by contributors.
1

Abstract

Since 1986, The National Institute of Standards and Technology (NIST) has been creating, 

managing, and updating a key data file format used for the exchange of biometric information 

entitled: ANSI/NIST-ITL: Data Format for the Interchange of Fingerprint, Facial & Other 

Biometric Information. This standard started with a basic fingerprint focus but has since evolved 

to support a wide range of biometric modalities. Any agency that captures, stores, and exchanges 

biometric information should be fully aware of and in accordance with this standard and how it 

forms the basic building block of effective interoperability processes. 

ANSI/NIST-ITL forms the basis for an agency Electronic Biometric Transmissions Specification 

(EBTS), which then forms the basis for an agency Application Profile. The content and interrelationship of these files and agency documentation is critical for the agency to efficiently manage 

and process biometric information. 

Keywords

application profiles, facial searching, facial recognition, EBTS, ANSI/NIST-ITL, subject 

acquisition profiles, SAP, compression algorithms, traditional encoding, XML encoding, 

interoperability
2

Table of Contents

1. Introduction ..................................................................................................................... 3

2. Referenced Documents.................................................................................................... 4

3. Terminology ..................................................................................................................... 4

4. Simple Relationship Diagram......................................................................................... 4

5. Key Definitions and Terms............................................................................................. 6

6. ANSI/NIST-ITL Background....................................................................................... 10

7. ANSI/NIST-ITL Formal History ................................................................................. 11

8. Subject Acquisition Profiles (SAP) .............................................................................. 12

10. The Application Profile................................................................................................. 13

11. Worldwide Application Profiles................................................................................... 14

12. Traditional Encoding Examples................................................................................... 15

12.1Traditional Encoding Example .................................................................................... 16

12.2XML Encoding Example............................................................................................... 16

List of Figures

Figure 1: Linkage of Standards 2

Figure 2: Generic Facial Search Workflow 3

Figure 3: Type 1 Record 4

Figure 4: FBI EBTS Type 2 Record 5

Figure 5: Type 10 Record Textual Contents 6

Figure 6: Type 10 Record Image Contents 7

Figure 7: ANSI/NIST-ITL Facial Subject Acquisition Profiles 10

Figure 8: ANSI/NIST-ITL Facial Image Compression Codes 11
3

Executive Summary

Law enforcement, entities responsible for the production of identification cards, places of 

employment that require background checks and identity management organizations are 

examples of bodies that specify and deploy solutions which have the primary goal of determining 

the personal identity of a subject or verify the identity of a subject using biometric information: 

finger, face, iris, etc. To effectively exchange biometric data between various agencies using 

dissimilar systems made by different manufacturers, a standard is needed to specify a common 

format for the data exchange. 

It is critical that agencies create an Application Profile which uses well established and widely 

accepted standards so that effective exchanges in the pursuit of agency-specific workflows 

utilizing biometric data can be facilitated. 

1. Introduction

1.1 The intended audience of this guideline is anyone involved in biometric operations that 

are focused on using industry standard record formats for the management and exchange 

of biometric related data.

1.2 This document will focus on the facial components of ANSI/NIST-ITL and EBTS 

standards. Reading the referenced documents will illuminate how NIST and EBTS can be 

applied to other modalities: finger, iris, palm, voice, etc. 

1.3 This guideline provides a beginner’s overview of how the ANSI/NIST-ITL: Data 

Format for the Interchange of Fingerprint, Facial & Other Biometric Information

as published by the National Institute of Standards and Technology (NIST) is used to 

form agency-specific implementations of Electronic Biometric Transmission Standards 

(EBTS). 

1.4 An agency-specific EBTS specification is also referred to by ANSI/NIST-ITL as an 

Application Profile which allows organizations to specify the complete details of all 

fields within the ANSI/NIST-ITL standard which are mandatory or optional in their 

respective biometric operations. In this document the Criminal Justice Information 

Service (CJIS) EBTS Standard will be used to illustrate a specific instance of an 

Application Profile. 
4

2. Referenced Documents

2.1 ANSI/NIST-ITL Standard

https://www.nist.gov/programs-projects/ansinist-itl-standard

2.2 ANSI/NIST-ITL Standard Profiles and Implementations

https://www.nist.gov/itl/iad/image-group/ansinist-itl-standard-profiles-andimplementations

2.3 History of ITL

https://www.nist.gov/itl/iad/image-group/ansinist-itl-standard-history

2.4 CJIS EBTS 11

https://fbibiospecs.fbi.gov/ebts-1/approved-ebts

2.5 Overview of 2011 Revisions to the Standard

https://www.aware.com/wp-content/uploads/2015/06/WP_ANSI-NIST.pdf

2.6 ASTM Standards

E2916 Terminology for Digital and Multimedia Evidence Examination.1

3. Terminology

3.1 Definitions:

3.1.1 ASCII : American Standard Code for Information Interchange 

3.1.2 NIEM: National Information Exchange Model

4. Simple Relationship Diagram

4.1 Key takeaways from this document can be illustrated in Figure 1 in how ANSI/NIST-ITL 

and EBTS Agency Specifications create a layered approach to build a standard which 

supports a complete approach to an agency-specific exchange and usage of biometric 

data. 

1 For referenced ASTM standards, visit the ASTM website, www.astm.org, or contact ASTM 

Customer Service at service@asstm.org. For Annual Book of ASTM Standards volume 

information, refer to the standard’s Document Summary page on the ASTM website.
5

ANSI/NIST-ITL

• File format 

• Header

• Basic Image Content

Agency Specifications

(EBTS)

• Types of Transactions

• Personal Information

• Encounter Specifics

• Optional Fields

Agency

Application 

Profile

Figure 1: Linkage of Standards

4.2 ANSI/NIST-ITL key definitions:

● Basic record formats and structures 

● Metadata describing the imagery 

● Subject acquisition profiles (defines basic facial image quality)

● Size of biometric facial imagery

● Acceptable compression algorithms 

4.3 Agency EBTS Specifications key definitions:

● Types of transaction (TOT): describes the type of encounter, the available data content in 

the file, the assumed action the file represents, and the response(s) which can result

● Textual metadata not defined by ANSI/NIST-ITL

● Error messages

4.4 Facial search workflow using CJIS EBTS 10 definitions:

● A facial image is captured at a local agency

● The facial image is packaged into an EBTS file with a type of transaction (TOT) of Facial 

Recognition Search (FRS). Demographics may be included in the EBTS file as defined 

by the Agency EBTS specification. 

● The FRS EBTS files is sent to the Agency which does the facial search

● The search results are gathered

● The search results are packaged into an EBTS file with a type of transaction (TOT) of 

Search Result Biometric (SRB). Demographics may be included in the EBTS file as 

defined by the Agency EBTS specification. Another type of response could be an Error 

Transaction (ERRT) if there is an error in the facial search. 

● The SRB EBTS file is sent to the Originator which captured the facial image

● The search results are reviewed by the Originator. 
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Gather

Results

Facial

Image

Capture

Package

Into EBTS

File

TOT: FRS

Send

To

Agency

Facial 

Search

Package

Into EBTS

File

TOT: SRB

Send

To

Originator

View 

Results

Figure 2: Generic Facial Search Workflow

5. Key Definitions and Terms

5.1 EBTS files for facial searches are comprised of different record types 

● Each record type manages a specific set of textual or facial image-based contents. 

● Each record is comprised of specific fields which are individually numbered and 

contain specific contents. 

● Most fields are mandated and controlled by the ANSI/NIST-ITL standard while some 

fields can be agency defined. 

● Fields can either be textual or contain binary image records. 

● Acceptable binary image record formats are defined by the ANSI/NIST-ITL standard. 

5.2 Type 1 record (Header)

● Transaction Management record

● All EBTS files must have a single Type 1 record followed by other records types 

(e.g. type 2 through 22) which contain transactional information

● All fields are textual 

● Fields are conventionally referred to as “1.001”, “1.002”, “1.003”, etc. (Note that 

these are two numeric designators separated by a period and not a single value 

expressed as a decimal. Therefore, 1.1 is synonymous with 1.001. However, 1.1 is 

not synonymous with 1.10.)

● Key fields include:

o VER: Version of the ITL file 

o CNT: Order and type of records in the EBTS file

o DAT: Date of the EBTS file creation

o ORI: Originating agency

o TCN: Transaction control number

o TOT: Type of Transaction. This field defines what the EBTS file is intended 

to include. For a facial search using CJIS EBTS this would be FRS which 

stands for “facial recognition search”.

o DAI: Destination agency
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o DOM: Version of the EBTS file (FBI-specific; other agencies have agencyspecific fields)

Examples:

TOT: Type of Transaction

DAT: Date

PRY: Priority

ORI: Originating Agency

TCN: Transaction Control 

Number

Figure 3: Type 1 Record

5.3 Type 2 record (Person)

● Agency defined record for person and encounter-specific information 

● All fields are textual 

● Fields are conventionally referred to as "2.001", "2.002", "2.003", etc. (Note that 

these are two numeric designators separated by a period and not a single value 

expressed as a decimal. Therefore, 2.1 is synonymous with 2.001. However, 2.1 is 

not synonymous with 2.10.)

The Application Profile Type 2 record defines agency-specific information about the subject 

and context of the encounter. 
8

Examples:

NAM: Full name

POB: Place of birth

SEX: Sex

CTZ: Citizenship

DOB: Date of birth

RAC: Race

HGT: Height

WGT: Weight

EYE: Eye color

HAI: Hair color

ASL: Arrest Segment Literal 

DOA: Date of arrest 

OCP: Occupation 

DOA: Date of Arrest

ASL: Arrest Segment Literal 

Figure 4: FBI EBTS Type 2 Record*

* This is an example of a Type 2 record, but it is FBI-specific; other Type 2 records may have a 

different appearance.
9

5.4 Type 10 records (Face)

● Contains facial, scars, marks, or tattoo (SMT), or other information related to body 

parts

● An EBTS file can contain multiple Type 10 records 

● All fields are textual except the image portion

● Fields are conventionally referred to as "10.001", "10.002", "10.003", etc. (Note that 

these are two numeric designators separated by a period and not a single value 

expressed as a decimal. Therefore, 10.1 is synonymous with 10.001. However, 10.1 

is not synonymous with 10.10.) 

● The binary image record is field “10.999” 

Examples:

IMT: Image Type (FACE)

SRC: Source ORI

PHD: Photo Date

HLL: Horizontal line length

VLL: Vertical line length

SAP: Subject Acquisition profile

POS: Pose (Frontal)

Figure 5: Type 10 Record Textual Contents
10

Figure 6: Type 10 Record Image Contents

6. ANSI/NIST-ITL Background

See the referenced URL: 

https://www.nist.gov/programs-projects/ansinist-itl-standard

Key extracts from this URL:

Law enforcement and related criminal justice agencies, as well as identity management organizations, procure 

equipment and systems intended to facilitate the determination of the personal identity of a subject or verify the 

identity of a subject using biometric information. To effectively exchange identity data across jurisdictional lines 

or between dissimilar systems made by different manufacturers, a standard is needed to specify a common format 

for the data exchange. 

Biometric data refers to a digital or analog representation of a behavioral or physical characteristic of an individual 

that can be used by an automated system to distinguish an individual as belonging to a subgroup of the entire 

population or in many cases, can be used to uniquely establish or verify the identity of a person (compared to a 

claimed or referenced identity). Biometric modalities specifically included in this standard are: fingerprints, 

plantars (footprints), palm prints, facial images, DNA and iris images. Identifying characteristics that may be used 

manually to establish or verify the identity of an individual are included in the standard. These identifying 

characteristics include scars, (needle) marks, tattoos, and certain characteristics of facial photos, iris images and 

images of other body parts. Latent friction ridge prints (fingerprint, palm print and plantars) are included in this 

standard and may be used in either an automated system or forensically (or both). 

Some data may be stored and/or transmitted in original and/ or processed versions. The image or other data (such 

as a video or audio clip) may be ‘raw’ (as captured), compressed, cropped, or otherwise transformed. An example 
11

of processed information is minutiae from friction ridge images. It is important, therefore, that descriptive 

information associated be transmitted to the receiving organization.

The Information Technology Laboratory (ITL) of the National Institute of Standards and Technology (NIST) led 

the development of this American National Standards Institute (ANSI) approved American National Standard 

using the NIST Canvass Method to demonstrate evidence of consensus.

7. ANSI/NIST-ITL Formal History

See the referenced URL: 

https://www.nist.gov/itl/iad/image-group/ansinist-itl-standard-history

Key extracts from this URL:

ANSI/NIST-ITL Standard History 

The first version of the standard, ANSI/NBS-ICST 1-1986 was published by NIST (formerly the National Bureau 

of Standards) in 1986. It was a minutiae-based standard. Revisions to the standard were made in 1993, 1997, 2000, 

and 2007. Updates to the standard are designed to be backward compatible, with new versions including additional 

biometric modalities and associated data. All of these versions use "Traditional" encoding.

In 2008, XML encoding of the standard was introduced, based upon the 2007 version. The 2007 and 2008 versions 

of the standard were designed to be the same except for the encoding. The XML encoding was developed using the 

naming conventions of the National Information Exchange Model (NIEM). Thus, this encoding is referred to as 

"NIEM-conformant XML."

In 2009, a minor supplement to the 2007 and 2008 versions was approved that extended the codes for friction ridge 

images to include multiple finger capture.

In November, 2011 a new version of the standard was approved. This version is focused on the content of the 

transmission, with encoding rules handled as annexes. Thus, there is no need for separate versions of the standard 

as was the case for 2007 (Traditional format) and 2008 (NIEM-conformant XML). The 2011 version of the 

standard also includes additional modalities (DNA and plantar) as well as the extended feature set (EFS) for Type9 record; forensic image markups for face and iris; new metadata fields such as geoposition of sample collection; 

biometric data hashing; an information assurance record; associated context record; original source record and data 

handling logs; images of all body parts in the Type-10 record and more. Current plans are to extend the standard to 

include records types for voice recognition and dental forensics / bitemark analysis as well as an annex for 

conformity assessment.

In 2013, the standard was updated to ANSI/NIST-ITL 1-2011: Update 2013. The Forensic Dental and the Forensic 

and Investigatory Voice Supplements were approved.

In 2015, the standard was updated to ANSI/NIST-ITL 1-2011: Update 2015.
12

8. Subject Acquisition Profiles (SAP)

A subject acquisition profile is used to describe a set of characteristics concerning the capture 

of the biometric sample. Higher SAP levels relate to higher quality imagery. 

Figure 7: ANSI/NIST-ITL Facial Subject Acquisition Profiles

9. Compression Algorithms

These are the compression algorithms acceptable to the standard. Note that compression 

algorithms are not applicable to every modality. 
13

Figure 8: ANSI/NIST-ITL Image Compression Codes

10. The Application Profile 

Agencies create profile implementations based on ANSI/NIST-ITL specifications which 

define elements of an EBTS file for agency-specific purposes. 

See the referenced URL for the latest CJIS Application Profile: 

https://fbibiospecs.fbi.gov/ebts-1/approved-ebts

Key extracts include:

The FBI Criminal Justice Information Services Division is moving toward a system that will contain a complete 

biometric and biographic profile of the subject records in its databases. Although fingerprints will continue to 

be the FBI's primary mode of identification for the near future, the scope of the EBTS has been expanded over 

previous versions to include additional biometric modalities (e.g., palm print, facial, and iris) in recognition of 

the rapidly developing biometric identification industry. The American National Standards Institute /National 

Institute of Standards and Technology-Information Technology Laboratory 1-2011 standard (ANSI/NIST-ITL 

1-2011) includes new record types to facilitate data sharing of new biometric modalities. Implementers should 

be aware that NIST has published an Errata for ITL 1-2011, correcting some errors in the Type-9 record. 

Integrating biometric data in accordance with the ANSI/NIST standard and subsequent Errata, the FBI EBTS 

provides a description of all requests and responses associated with electronic fingerprint and other biometric 

identification services.

The process of updating an FBI implementation of the ANSI/NIST-ITL 1-2011 standard involves many 

considerations as well as iterations of reviews and approvals. The EBTS is governed by the Advisory Policy 

Board (APB) process. Specifically, the Identification Services Subcommittee, Identification Services 

Coordination Group (ISCG), reviews drafts of the EBTS. This group provides comments, ranging from very 

specific to broad, to enhance the standard and provide opportunities for user feedback. The approval process 

takes into account the impact on legacy users, system contributors, and interoperability stakeholders, 

particularly when adding new information and changing functionalities. Changes to the EBTS require close 

coordination with users to articulate effects on programming, costs, business objectives, and other factors that 

need to be projected and reconciled accordingly.

EBTS v11.0 introduces the NGI Iris Service in Appendix S: Descriptors and Field Edit Specifications for Type17 Logical Records. Future updates to EBTS 11.0 will be completed through Technical and Operational 

Updates (TOUs) and will be fully incorporated directly into the EBTS, with previous versions moved into the 
14

archive. In addition, a redline excerpt of the changes associated with the most recent TOU are provided for 

quick reference. Changes to the document are either deletions or insertions. Both are identified in red text 

and/or strikethrough font. All comments to this standard may be submitted via this website.

Note the defined types of transactions supported:

There are several types of electronic fingerprint identification submissions that will be accepted by the 

FBI/CJIS. The particular type of submission is identified in the Type of Transaction (TOT) field in the Type-1 

record for each transaction. The following are the TOTs for identification submissions:

TOT TRANSACTION

CAR Criminal Tenprint Submission (Answer Required)

CNA Criminal Tenprint Submission (No Answer Necessary)

CPDR Criminal Fingerprint Direct Route

CPNU Criminal Fingerprint Processing Non-Urgent

DOCE Departmental Order Channeling Electronic

EMUF Electronic In/Manual Out User Fee Submission

FANC Federal Applicant (No Charge)

FAUF Federal Applicant User Fee

FIDR Foreign Information Direct Route

FNDR Federal No Charge Direct Route

NNDR Non-Federal No Charge Direct Route

NFUE Non-Federal User Fee Expedite

NFUF Non-Federal Applicant User Fee

MAP Miscellaneous Applicant Civil

DEK Known Deceased

DEU Unknown Deceased

MPR Missing Person

AMN Amnesia Victim

FBI/CJIS’s responses to electronic submissions will provide search results or indicate an error via the following 

TOTs: 

TOT RESPONSE TRANSACTION

SRE Submission Results - Electronic

ERRT Tenprint Transaction Error

11. Worldwide Application Profiles 

There are many countries which have adopted their own Application Profiles based on NIST 

specifications which define their specific elements in an EBTS file for agency-specific 

purposes. 

See the referenced URL for a list of these countries: 

https://www.nist.gov/itl/iad/image-group/ansinist-itl-standard-profiles-andimplementations
15

12. Traditional Encoding Examples

In the 2008 Revision of ANSI/NIST-ITL an XML encoding was introduced which could be used 

instead of the traditional binary encoding. Part 1 of this standard, previously published in 2007, 

updated the based standard, while Part 2 of this standard, published in 2008, introduced the XML 

encoding.

NIST Special Publication 500-271

Information Technology: American National Standard for Information Systems— Data Format for the Interchange 

of Fingerprint Facial, & Other Biometric Information – Part 1

ANSI/NIST-ITL 1-2007 Revision of ANSI/NIST-ITL 1-2000

https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51174

NIST Special Publication 500-275

ANSI/NIST-ITL 2-2008 XML Version of ANSI/NIST-ITL 1-2007

Information Technology: American National Standard for Information Systems— Data Format for the Interchange 

of Fingerprint Facial, & Other Biometric Information – Part 2: XML Version

https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=890062

Key extracts from Part 1 include:

The document that follows is the conventional ANSI/NIST standard, now known as Part 1. Part 2 will be the 

Extensible Markup Language (XML) version of Part 1 and is currently being developed.

Over the past several years, many data interchange and processing applications have converted to or are in the 

process of migrating toward an XML format approach for processing data. In order to provide the ability to directly 

interface with such applications, an XML alternative representation of the textual, image, and other biometric 

information is being developed. Part 2 of this standard will contain the XML alternative for the conventional 

ANSI/NIST standard. The goal of Part 2 will be to describe a “one-to-one” correspondence of XML elements to 

the numerically tagged conventional elements described in Part 1. The sub-elements (separated by the US and RS 

characters in the conventional representation) are given XML counterparts in Part 2.

Key extracts from Part 2 include:

This document contains the Extensible Markup Language (XML) version, or Part 2. Over the past several years, 

many data interchange and processing applications have converted to or are in the process of migrating toward an 

XML format approach for processing data. In order to provide the ability to directly interface with such 

applications, this XML alternative representation of the textual, image, and other biometric information has been 

developed. A goal of Part 2 of this standard is to describe a “one-to-one” correspondence of XML elements to the 

numerically tagged conventional fields described in Part 1. Another goal is to define an XML representation that 

conforms to the National Information Exchange Model (NIEM), which enables interoperability for information 

sharing among multiple government agencies

National Information Exchange Model, NIEM Version 2.0, July 2007, http://www.niem.gov . 
16

12.1 Traditional Encoding Example

Key items:

● All textual items are referenced as tag – value pairs 

● All textual items are separated by non-printable characters

● Images are stored in native binary formats

● File size is compact

● An example of a Type 1 record is shown in yellow and a Type 2 record is shown in 

green. You can make out the contents but the non-printable field delimiters obscure 

the contents.

1.01:2531.02:04001.03:120-200-401-402-403-404-405-406-407-408-409-410-411-412-413-414-1015-1516-1517-

1718-

17191.04:CAR1.05:201006211.06:41.07:DCFBIWA6Z1.08:NY03030001.09:12345678901.11:20.001.12:20.001.1

3:NORAMEBTS 10.0

2.001:8072.002:002.005:Y2.006:SA J Q DOE,RM 

118672.007:NY030025P2.009:Q8803124652.014:62760NY122.015:NY123456782.016:2205658552.017:PP1234567890P2.018:JONES,ANTHONY P2.019:JONES,TONY-JONES,A 

P2.020:VA2.021:US2.022:197908152.024:M2.025:W2.026:MISS L 

TOE2.027:6012.029:1822.031:BLU2.032:BRO2.035:Y2.036:Y2.039:ACE CONSTRUCTION COMPANY,327 

MAPLE AVE, BUFFALO,NY2.040:PLUMBER2.041:5021 OAK LEAF DRIVE, BUFFALO NY, USA., 

199709252.045:199503242.047:19940919DUI-19940920POSSESSION OF 

FIREARMS2.051:19940930DUIUS>5 DAYS JAIL, PAY COURT COSTSCONVICTED19940930POSSESSION OF FIREARMS10 DAYS JAIL, PAY COURT COSTS, 

$50CONVICTED2.054:199609302.055:RELEASED BY COURT ORDER,199409302.056:ARMED AND 

DANGEROUS2.067:DBI1134123452.070:Y2.073:NY03030002.084:03XX-09UP2.087:Y

12.2 XML Encoding Example 

Key items:

● All textual items are referenced as named elements 

● The XML Mapping table provided in the XML Information Exchange Package 

Documentation (IEPD) lists the ITL Field Numbers and mnemonics with their 

corresponding XML representation. (Note that minimum and maximum occurrences 

may be different but equivalent.)

● All contents are presented as printable characters

● Images are stored in uuencoded formats

● File size is large

● An example of a Type 1 record is shown in yellow and a Type 2 record is shown in 

green. This encoding directly exposes the fields and their contents 

<itl:NISTBiometricInformationExchangePackage xmlns:ansi-nist="http://niem.gov/niem/biometrics/1.0" 

xmlns:biom="http://niem.gov/niem/biometrics/1.0" xmlns:ebts="http://cjis.fbi.gov/fbi_ebts/10.0" 

xmlns:itl="http://biometrics.nist.gov/standard/2011" xmlns:j="http://niem.gov/niem/domains/jxdm/4.1" 

xmlns:nc="http://niem.gov/niem/niem-core/2.0" xmlns:s="http://niem.gov/niem/structures/2.0" 

xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">

<itl:PackageInformationRecord>

 <biom:RecordCategoryCode>01</biom:RecordCategoryCode>
17

 <biom:Transaction>

 <biom:TransactionDate>

 <nc:Date>2010-06-21</nc:Date>

 </biom:TransactionDate>

 <biom:TransactionDestinationOrganization>

 <nc:OrganizationIdentification>

 <nc:IdentificationID>DCFBIWA6Z</nc:IdentificationID>

 </nc:OrganizationIdentification>

 </biom:TransactionDestinationOrganization>

 <biom:TransactionOriginatingOrganization>

 <nc:OrganizationIdentification>

 <nc:IdentificationID>NY0303000</nc:IdentificationID>

<itl:PackageDescriptiveTextRecord>

 <biom:RecordCategoryCode>02</biom:RecordCategoryCode>

 <biom:ImageReferenceIdentification>

 <nc:IdentificationID>00</nc:IdentificationID>

 </biom:ImageReferenceIdentification>

 <itl:UserDefinedDescriptiveDetail>

 <ebts:DomainDefinedDescriptiveFields>

 <biom:RecordRetentionIndicator>true</biom:RecordRetentionIndicator>

 <biom:RecordForwardOrganizations>

 <nc:OrganizationIdentification>

 <nc:IdentificationID>NY030025P</nc:IdentificationID>

 </nc:OrganizationIdentification>

 </biom:RecordForwardOrganizations>

 <biom:RecordRapSheetRequestIndicator>true</biom:RecordRapSheetRequestIndicator>

 <nc:CaveatText>SA J Q DOE,RM 11867</nc:CaveatText>

 <ebts:RecordImageCaptureDetail>

 <biom:CaptureDeviceMakeText>DBI</biom:CaptureDeviceMakeText>

 <biom:CaptureDeviceModelText>1134</biom:CaptureDeviceModelText>

 <biom:CaptureDeviceSerialNumberText>12345</biom:CaptureDeviceSerialNumberText>

 </ebts:RecordImageCaptureDetail>

 <ebts:RecordTransactionActivity>

 <j:SubjectOffenderNoticeText>ARMED AND DANGEROUS</j:SubjectOffenderNoticeText>

 <ebts:ArrestDate>

 <nc:Date>1995-03-24</nc:Date>

 </ebts:ArrestDate>

 <nc:CaseTrackingID>Q880312465</nc:CaseTrackingID>

 <ebts:CriminalCycle>

 <ebts:ArrestOffenseData>

 <ebts:OffenseDate>

 <nc:Date>1994-09-19</nc:Date>

 </ebts:OffenseDate>

......

 </nc:EmploymentLocation>

 </ebts:RecordSubject>

 </ebts:DomainDefinedDescriptiveFields>

 </itl:UserDefinedDescriptiveDetail>

</itl:PackageDescriptiveTextRecord>