IRIS Scanner in Airports

This presentation discusses the use of IRIS scanners in airports for identity recognition and security. It explores the process of IRIS scanning, control mechanisms, advantages, issues faced, and the reliability of the system. The presentation also highlights the benefits of IRIS scanning in preventing identity fraud and theft. Additionally, it discusses the lessons learnt from using this technology and its impact on privacy and security. The presentation concludes by emphasizing the widespread use of IRIS scanners in airports worldwide.

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.