Transcript New Zealand Passports update from April 2002

Biometrics in New Zealand
Passport issuing
Border crossing
System and information access
Building access
ICAO STANDARDS
In May 2003 ICAO adopted a global harmonised blueprint for the
integration of biometric identification information into MRTD’s
• Facial recognition was selected as the globally interoperable biometric for
machine-assisted identity confirmation with MRTDs. Fingerprint and IRIS
technology can also be used as an optional addition to facial recognition
• High-capacity, contactless integrated circuit (IC) chips selected to store
identification information in MRTDs
• A specially developed logical data structure (LDS) will provide a framework
for programming data to ensure interoperability of travel documents
• A modified public key infrastructure (PKI) scheme will provide security of
data stored in the IC chip against unauthorized alteration or access.
U S Border Control Legislation
• Visa Waiver Requirements
– NZ wishes to retain US Visa Waiver status
– Work is underway to enable the issue of passports that incorporate
biometric and document authentication identifiers from October
2004
– The new passport will incorporate Contact-less Chip technology to
allow for the electronic storage of the holder’s portrait/s plus other
data already displayed visually on the passport.
– The new passport will enabe border control authorites to
electronically check the documents authenticity and match the
holder to the document using facial recognition technology
New Zealand Passport Office
Biometric Testing Programme
The use of Facial Recognition Technology in
Passport Application Processing
Biometrics Test Programme Outcome
To assess the suitability of facial recognition technology for use
in NZ travel document issuance processes
Why Facial Recognition Technology?
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Minimal impact on the customer as Passports already collects a
photo
More socially acceptable in NZ
Passports Database already holds an image of all current
passport holders
Aligns well with emerging international standards
Background
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Testing programme commenced in February 2002 and is
ongoing
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due to the rapid evolution of the technology (not backward
compatible) and self imposed privacy constraints the programme
has continued well beyond original timeframes
A test of the technology not simply of vendors products
Approximately 2.6 million images in the test database
The Programme is internationally recognised in the ICAO
community and is being monitored by a number of US
agencies (e.g DHS and the White House Technology
Group)
Specific Test Programme Objectives
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Specifically, we are seeking to establish whether
acceptable performance can be achieved in the following
key areas
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The suitability of our current database of images for conversion to facial
recognition templates
Enrolment from a photograph supplied by the applicant, including the
identification of best practice
One to one matching (verification) of renewal photographs against
existing image templates including the effects of aging
One to many matching (identification) for images held under different
identities (accuracy and search speed are the key factors)
Image template storage and retrieval
Overview of Results (to date)
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Current database images are suitable for use with facial
recognition technology
Photos submitted by applicants are suitable for use with
facial recognition technology
One to one testing indicates that accuracy (probability of
correct verification) up to ten years averaged 92.4%.
Accuracy decreases with increasing elapsed time.
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Comparison of image templates captured within the same year
produced accuracy levels of 97% however in the tenth year
accuracy dropped to 88%
Further Results (to date)
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Early results of one to many testing indicates that
we can accurately identify a person posing as
another 60% of the time when compared with 2.6
million others
Adding gender and age-band filters increases
performance to around 78%
One to many searches can be carried out inside
four seconds on a database of 2.6 million
Further Development & Testing
• Filtering to improve accuracy of fraud detection
• 3D modeling of the facial image
• Image capture
– optical image vs digital scanning
• Test in operational mode
• Report findings to international ICAO community
• Assess suitability for implementation
Questions
and
Discussion