past, present and future of iris recognition - afcea gis 2015 advanced tech research. 9-24-2015....
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Past, Present and Future of Iris Recognition
(from an academic researcher’s viewpoint)
Kevin W. Bowyer
Schubmehl-Prein Professor
Chair, Department of CS&E
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Daugman
patent
granted
0
50
100
150
200
250
IEEE Xplore: Iris AND Biometric
UAE border
control
begins
Flom & Safir
patent
expires
CAB single
factor
authenticatio
n
Aadhaar
exceeds US
population
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Center for Global
Development report
analyzing India’s
experience with the
Aadhaar program.
Conclusions based
on data from
enrolling 84 million
persons.
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
same, Fresh Look lens. same, AccuVue lens.
with no contact lens. same eye, clear contact.
(images brightened for better visibility)
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
VeriEye 4.1
matcher,
NDCLD12
image
dataset
(available).
social impact issue
security issue
classic Daugman
performance point
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Detecting lenses of the same brand
as used in the training data is easy.
Detecting brands of lenses not seen
in the training data is more difficult,
can have highly variable results.
Doyle (IEEE Access, 2015) shows
that more brands in the training data
improves generalization.
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
The scores are NOT from 1:N search.
They are from “1-to-First” search.
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Problem in “1-to-First” Matching:
False Match can be taken for aTrue Match !
“I am
enrolled”
. . . incorrect
match,
above
threshold
correct
match; min
below
threshold
incorrect
match,
above
threshold
incorrect
match,
below
threshold
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
False match frequency in 1-to-First
results from interaction of factors:
number of enrolled irises.
threshold for accepting a match.
range of iris rotation allowed.
spread of impostor distribution.
(1:N, 1:First experimental study in progress)
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
1:First versus 1:N detail –
The OPS-XING dataset used in IREX
VI has no independent ground truth.
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
The (assumed) authentic distribution is not close to Gaussian.
“truncated”
“censored”
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
The IREX VI regression analysis is
not matched to the properties of
the OPS-XING dataset.
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Up-to-3-tries image acquisition
1st, 2nd, 3rd match distributions differ!
Should not be mixed in one regression.
(See paper by Czajka in BTAS 2015.)
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
The IREX VI OPS-XING dataset is a
composite of many data streams:
69 different kiosks.
11 different locations.
most with US and CA kiosks.
Toronto T1 and Vancouver are two
of the higher-traffic locations.
(See paper by Ortiz in Biometrics Workshop 2015.)
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Would you fit a straight
line to this data?
Would you merge the two datasets, fit a line
to the merged data, and use that as your
best estimate of iris template aging?
How about this data?
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GIS 2015 ADVANCED TECH RESEARCH. 9-24-2015.
Visible-light iris in some instances. (e.g., see Hugo Proenca’s work)
Better sensors, in an HCI sense.
Better segmentation, matching.
More nation-scale applications. (like Somaliland voter registration)
More on gender, race from iris
More research on iris aging.