The document discusses the use of biometric technology like facial recognition and fingerprints for airport security and passenger verification. It describes how biometrics are used at border control and for outbound travel to enhance security and the passenger experience. The document also outlines system requirements, different types of biometric matching, challenges around data sharing and protection, and how biometrics can be applied to staff access control as well.

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Using Biometric Technology to
Facilitate Security

2. © 2014 Rockwell Collins.
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Use of Biometrics in Airport Security
• Biometrics are most widely
used in securing border/entry
control
• Aid to government officials
• Supervision of multiple
kiosks / gates
• Principle aim is to enhance
passenger throughput

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• Based upon comparison of captured
biometric against a previously registered
token.
• Normally the passport picture, but can
include alternates such as iris or fingerprint
in “known traveller” programmes
• Provides identity verification service:
– RED Definitely not a match
– GREEN Definitely a match
– AMBER Uncertain
• Biometrics useful at confirmation of
definitive results

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Application to the Outbound Journey
• To enhance the passenger
experience and support self
service, biometrics are now
being employed in the
outbound journey.
• Verification at self service
points, ensures that identity
is maintained
• Eliminates further manual
checks for vast majority

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System Requirements
• Performance:
– Minimise times for successful
enrolments and verifications
• Passenger experience:
– Instructions - remove glasses etc.
– Implementation of exception processes
• Data protection issues to overcome
• Be highly configurable:
– Alternate biometric
technologies
– Selected flights or routes
– Implemented without
impacting the airlines systems
• Security:
– Zero false accepts, minimal
false rejects

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Enabling Identity Management Throughout the
Airport

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Consequences of Invalid Identity Verification
Different uses have different consequences
• Border Control:
– Consequence of failure is critical
• Systems tuned to Zero false acceptance
• Passenger Facilitation:
– Can result in poor passenger service
– Used to enhance passenger experience whilst maintaining security
– Maximum benefit when integrated with government control
systems, watch lists and travel document verification systems (visa
checks)

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Traveller Clearance
8
Airport Business
Rules &
Orchestration
Infinity
Risk
Assessment
Document
Verification
Travel Rules
System
3rd Country
Clearance
eVisa
AQQ
Watch list Interpol
SLTP Interpol
Abuser &
Victims
……Document
Templates
ICAO PKD
Border
Management
ESB
Airline
DCS
AODB /
FIDS
BCBP / Passport scan
API Data
Airport /
Airline
Government
Biometric Identity
Verification

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Validation Certainty
• Question of certainty:
– Improve the process due to consistency
– Allows humans to focus on what they are best at
• Resolving issues from uncertain results
• Differing approaches of 1 to 1 and 1 to many
matching will have differing levels of certainty
• 1 to 1
– A single enrolment is compared to live images to
answer the question:
“is this the same person that I have seen
before”
• 1 to Many
– A live image is compared to a gallery of images
to answer the question:
“Have I seen this person before”

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Application to Staff Access
• Current use cases are looking at
passenger identity management
• Same technology can be applied
to staff airside access controls.
– Applies the same standard to
staff access control as to
passengers
• Permanent biometric data can
be captured and stored,
enabling total automated
identity checks. The airport ID
pass database can be integrated
as a data source
• Already used in a number of
office facilities to control access

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Data Sharing
• Outcome of a recent FTE* Think Tank was
that data sharing in all its forms is a
mandatory requirement
Security cannot improve without data
sharing
* Future Travel Experience
• How do we share and make use of common
data / identity / security information
between airports, airlines, governmental
agencies
Improved Security Data sharing
• Can these be incorporated
with government backed on-
line security initiatives
• Ultimate need is for a single
token that can be made
available to all

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Result - Improved Security
• Extends and enhances manned
checkpoints:
– Improves Security as machine is
consistent and high quality
• Facilitates unsupervised identity checks:
– Validates identity document ownership
– Enables fully automated and unmanned
Self Service Check-in, Self Service Bag
Drop, Self Boarding gates by ensuring
identity is maintained
• Registered Traveller Authentication
• Prevents boarding pass swaps

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But …..
Sharing data between all parties is a
fundamental requirement

14. © 2014 Rockwell Collins.
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© 2014 Rockwell Collins.
All rights reserved.
Thank You
For more information please visit
http://rockwellcollins.com/arinc/airports
and download our white paper:
Assessment of 1-to-Many matching in the airport
departure process
tony.chapman@arinc.com
tony.chapman@rockwellcollins.com