Some basics of Biometric Authentication system

1. Presented by-
MANOJ KUMAR

2.  Traditional methods involving passwords and PIN
numbers
 Biometrics highest level of security

3.  Automated method
 Pattern recognition system
 Specific physiological or behavioral characteristics

4.  Forget passwords…
 Forget PIN numbers…
 Forget all your security concerns ...

5.  Fingerprint recognition
 Facial recognition
 Iris
 Hand geometry
 Retina
 Signature dynamics
 Speaker recognition

6.  Fingerprint recognition is one of the popular biometric
authentication techniques. It refers to the automated
method of verifying a match between two fingerprint
images.
 Fingerprint Recognition is commonly employed in
forensic science to support criminal investigations, and
in biometric systems such as civilian and commercial
identification devices.

7.  Facial recognition is the most natural means of the
biometric identification.
 A facial recognition device is one that views an image
or video of a person and compares it to one that is in the
database.
 A facial recognition system is a computer
applications for automatically identifying or verifying a
person from a digital image or a video frame from
a video source. One of the ways to do this is by
comparing selected facial features from the image and a
facial database.

8.  The iris is the colored ring of textured tussue that
surrounds the pupil of the eye.
 Iris recognition is an automated method
of biometric identification that uses mathematical
pattern-recognition techniques on video images of
the irides of an individual's eyes, whose complex
random patterns are unique and can be seen from some
distance.

9.  It is a biometric that identifies users by the shape of their hands.
 It involves analyzing and measuring the shape of the hand. This
biometric offers a good balance of performance characteristics
and is relatively easy to use. It might be suitable where there are
more users or where users access the system infrequently and
are perhaps less disciplined in their approach to the system.
 Accuracy can be very high if desired and flexible performance
tuning and configuration can accommodate a wide range of
applications. Organizations are using hand geometry readers in
various scenarios, including time and attendance recording,
where they have proved extremely popular. Ease of integration
into other systems and processes, coupled with ease of use,
makes hand geometry an obvious first step for many biometric
projects

10.  Retina based biometric involves analyzing the layer of
blood vessels situated at the back of the eye. An
established technology, this technique involves using a
low-intensity light source through an optical coupler to
scan the unique patterns of the retina. Retinal scanning
can be quite accurate but does require the user to look
into a receptacle and focus on a given point. This is not
particularly convenient if you wear glasses or are
concerned about having close contact with the reading
device. For these reasons, retinal scanning is not warmly
accepted by all users, even though the technology itself
can work well.

11.  Biometric signatures are based upon recording various
characteristics of one’s signing style to carry out the
process of identification in the future.
 Amount of pressure employed, angle of writing,
formation of letters and other traits, which are
categorized as behavioral biometrics, form the basis of
biometric signature recognition technology

12.  Speaker recognition is the process of automatically
recognizing who is speaking on the basis of individual
information included in speech signals
 It can be divided into Speaker Identification and Speaker
Verification
 Speaker identification determines which registered
speaker provides a given utterance from amongst a set
of known speakers
 Speaker verification accepts or rejects the identity claim
of a speaker - is the speaker the person they say they
are?

13.  Fingerprints are the patterns formed on the epidermis of
the fingertip. The fingerprints are of three types: arch,
loop and whorl.
Fig1 : Arch Fig2:Loop Fig3 : Whorl