Project Report: IRIS Scanner Technology Implementation in Airports

This report examines the application of IRIS scanner technology in airport security. It begins with an introduction to IRIS scanning, a biometric identification method that combines statistical conclusions, optics, and computer vision to identify individuals. The report details the process of iris scanning, ...Read More

IRIS SCANNER IN
AIRPORTS

Introduction
 An IRIS scanner is a technology that is
used for the purpose of detecting
recognition of a particular individual’s
identity (Priya & Sumitra, 2018).
 This technology aims in combining
statistical conclusions, optics, and
computer vision and pattern recognition.
 This technology has been used by the
industry of aviation, for the purpose of
identifying the identity of an individual.

IRIS scanning
 Particular process of
identification that is
carried out in airports
by gathering one or
more than one
detailed images of
the eye.
 The matching engine
has the capability of
comparing millions of
pictures every second Image 1: iris technology
in airport

IRIS scanning
 There are few control mechanisms that
have been implemented in order to
ensure that the image that has been
captured is an individual’s real face and
not a photograph of high quality (Kumar,
Hegde & Soans, 2017).
 The passengers are obscured form
wearing any sort of contact lenses as well
as glasses because it obscures the
pattern of iris.

Why is ISIR scanning helpful?
 Iris scanning
procedure is ten time
precise than the
process of fingerprint
scanning
 The greatest
advantage of iris
scanning as the
accuracy of the
system is its reliability
and scanning Image 2: iris technology
in airport

Why are the issues faced due to iris
scanners?
 Testing have proved to provide
numerous false matches.
 Iris technology might be developed
such that they would be allowed to
track people without even their
consent or knowledge (Nugraha &
Choi, 2016).
 Privacy and security are some more
concerns that have been raised.

Why are the issues faced due to iris
scanners?
 Passengers who
support biometric
technology claim iris
technology to be
vulnerable.
 The recent iris
scanning system had
tried to get this around
with the help of
detecting an
individual’s eye
movements Image 3: iris technology
in airport

Conclusion
 Technology of iris identification is
used in various airports for the
purpose of identifying passengers
(Uroukov & Speller, 2015).
 Various airports that are present all
over the world have been using the
iris scanners as well as recognition
technology (Ciuffo & Weiss, 2017).

Conclusion
 The iris scanning
has the ability to
prevent any
negative incidence
from occurring.
 Iris scanning had
been considered as
the best process for
biometric
identification. Image 4: iris technology
in airport

Lessons learnt
 Helps in preventing identity fraud or
identity theft, having very low false
positive rates and very low
occurrence of false negatives
(Syryamkim, Kuznetsov &
Kuznetsova, 2018).
 Susceptibility to damage caused by
diseases, it is viewed as non user
friendly and very intrusive, having
high amount of user as well as

Lessons learnt
 Usage of iris
analysis in the
place of merely
monochromatic
cameras can be
done to
distinguishing iris
tissue from any
other material.
 Carry out testing
for the purpose of
retinal retro
Image 5: iris technology
in airport

References
 Ciuffo, F., & Weiss, G. M. (2017, October). Smartwatch-based transcription
biometrics. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and
Mobile Communication Conference (UEMCON) (pp. 145-149). IEEE.
 Kumar, A., Hegde, A., & Soans, R. V. (2017, September). Implementation of
Optimised Daugman’s Procedure for Iris Authentication. In 2017 International
Conference on Current Trends in Computer, Electrical, Electronics and
Communication (CTCEEC) (pp. 1188-1191). IEEE.
 Nugraha, R. A., & Choi, J. (2016). Body Scanners within Airport Security
Systems: Security or Privacy Issue?. The Aviation & Space Journal, 15(3).
 Priya, J. A., & Sumitra, P. (2018). Analysis of Quality Metrics and Techniques
Applied in Iris Recognition. International Journal of Applied Engineering
Research, 13(22), 15783-15785.
 Syryamkim, V. I., Kuznetsov, D. N., & Kuznetsova, A. S. (2018, May). Biometric
identification. In IOP Conference Series: Materials Science and Engineering (Vol.
363, No. 1, p. 012005). IOP Publishing.
 Uroukov, I., & Speller, R. (2015). A preliminary approach to intelligent x-ray
imaging for baggage inspection at airports. Signal Processing Research, 4, 1-11.