Unraveling the Effect of Textured Contact Lenses on Iris
Recognition
Abstract:
The
experimental results shows that biometric templates, including iris and users
attributes, produced by different recognition methods can be matched through
the central rays in their convex polyhedral cones and that templates protected
by a method extended from Iris-templates can be broken into. These experimental
results indicate that, without a thorough security analysis, convex polyhedral
cone templates cannot be assumed secure. In this paper, The presence of a contact lens,
particularly a textured cosmetic lens, poses a challenge to iris recognition as it obfuscates the natural iris
patterns. Many
types and colors of lenses are available from a number of different manufacturers. To
analyze the effect of these
parameters on iris recognition. The
proposed approach outperforms other lens detection algorithms on the two
databases and shows improved iris recognition performance. Detection of the presence of a contact lens is
the first step to improving the usability and reliability of iris recognition
for contact lens wearers. The extraordinary market success of Iris-templates relies heavily on its computational advantages,
including extremely high matching speed for large-scale identification and
automatic threshold adjustment based on image quality many methods modified
from Iris-templates were
proposed for iris and user attributes based recognition.
Existing System:
1) The Biometric Features is basically used
to identify the individuals Face, Fingerprint,
Handprint, Voice and etc. If one
tries to identify the people’s image using face, it will take some serious and tedious parts. Such as
the skin may get shrinks as time goes, so the unique
identification gets changed and may
show some false-positive results.
2)
One can take different parts of a
face and analyze the presence of the
person.
3)
If we consider the Hand print, it
will also be unique for each and every person but even that gets similar
between people. Basically the
Hand print is also unable to believe it to be true or fake.
4)
And finally voice recognition is
also said to be one of the
Biometric Feature to recognize the person, but still it also creates the
bottle neck problems and couldn’t be able to assured.
5)
Iris Code Generation technique also
has a Error False report.
Disadvantages:
1)
In this approach the iris images
will occupy more memory space the in the database.
2)
In
early things the eye has to match exactly with the database as if we stored the
image. Even a small distraction also will not be allowed.
3)
One can take different parts of a face and analyze the
presence of the person.
Proposed system:
1)
Fourier transform to detect periodic
fake iris patterns that were prevalent in textured lenses manufactured
at that time.
2)
IRIS is one of the most promising
biometric modalities, and is in regular use in large-scale applications such as
UAE
port of entry and India’s UIDAI (Aadhar) projects.
3)
Median filters, which influence the
distributions of the bits to identify
the Hamming distance of phase .
4)
Wearing of contact lenses, both
soft contacts and textured “cosmetic" soft contacts, degrades the accuracy
of iris recognition.
5)
Our post-processing techniques are
Normalization, Segmentation using phase-based , texture analysis methods.
Advantages:
Ø Using
this technique, the user will have the unique identification for his personal
details.
Ø Two different contact lens iris image datasets have
been collected, independently in different countries, using different iris
sensors and sampling different brands of contact lenses.
Ø We
can have more efficiency and security to the applications and also there will
less memory usage while storing in the data base.
Ø Instead
of storing the iris image, the iris code is going to store in the database.
Software
Requirements:
Platform : JDK 1.5
Program Language : JAVA
IDE : Net beans
Data Base : MySQL
Operating System : Microsoft Windows XP
Hardware
Requirements:
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