Big Data. Big Decisions
InformationWeek
Special Coverage Series


FBI To Add Tattoos To Biometric ID Capabilities

Agency solicits information on using tattoo databases as part of a broader effort to expand its biometric identification platform and services.

The Federal Bureau of Investigation is looking to add tattoos to its portfolio of human identifying characteristics, and it's reaching out to industry for information on how to do that, according to a request for information.

The FBI's Biometric Center of Excellence (BCOE) is seeking information regarding existing databases of tattoos, according to the July 13 RFI, which was posted on the Federal Business Opportunities website, FBO.gov, and first reported by NextGov.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

The FBI has a list of questions for industry and law enforcement agencies on tattoo databases, including whether "possible meanings and gang affiliations" are provided and whether gang experts are involved in that analysis. The RFI inquires about the underlying database technology, how information is extracted, and standards for metadata and images.

The FBI describes BCOE as a "one-stop shop for biometric collaboration and expertise." Best known for its fingerprint and DNA identification services, the center is also developing capabilities in voice, iris, and other identifying characteristics. In the area of emerging biometrics, it's exploring footprints and hand geometry.

[ See YouTube Adds Face Blurring For Privacy. ]

Tattoo recognition is part of the FBI's Next General Identification program, a multiyear initiative to develop ID capabilities beyond fingerprints and criminal mug shots. On July 18, Jerome Pender, deputy assistant director of the FBI's Criminal Justice Information Service division, told a Senate subcommittee that three phases of the program are in development, including one focusing on scars, marks, and tattoos. The capability to support that is scheduled for deployment in the summer of 2014.

Tattoo databases are available from a variety of sources. For example, the Anti-Defamation League's website has a collection of extremist tattoos and other symbols, and GangInk--a national effort by ChicagoGangs.org--chronicles gang tattoos from across the country.

The tattoo database RFI seeks information on privacy implications, policy, and special circumstances, such as when tattoos are located in "sensitive" areas. BCOE is "committed to the protection of individual privacy rights and civil liberties," according to its website.

Tattoos are already being used by federal officials in some cross-border screenings. The Wall Street Journal reported July 11 that some immigrants have been denied permanent residency based on the tattoos suspected of representing gang affiliations.

Contributing writer Dan Taylor is managing editor of Inside the Navy.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.