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Biometrics
1.
BIOMETRICS Presented by:
Anoop Sathyan S7 EC
2.
3.
4.
5.
In late 19th
century, distinctiveness of Fingerprint discovered
6.
Much developed in
20th Century
7.
8.
Universality
9.
Distinctiveness
10.
Permanence
11.
Collectability
12.
Practically
13.
Performance
14.
Acceptability
15.
16.
Physiological or Behavioral
based person recognition
17.
Physiological - Fingerprints,
Retinal & Iris Pattern, Hand & Finger Geometry, Facial Recognition
18.
Behavioral – Voice
Patterns, Signature
19.
Details entered into
a Database
20.
Compared with entered
Details
21.
22.
Modes:
23.
Verification Mode
24.
25.
26.
27.
False Match: Biometric
Measurement from two different persons to be from same person
28.
29.
Vein Thermogram
30.
Face Recognition
31.
Fingerprint
32.
Hand & Finger
Geometry
33.
Iris Scan
34.
Retina Scan
35.
Signature Verification
36.
37.
Identical Twins have
same DNA
38.
Benefits:
39.
Accurate
40.
Weakness:
41.
Not in Real-Time
42.
Physical sample should
be taken
43.
44.
When exposed to
IR rays, veins appear black
45.
Merits:
46.
Can be done
only if person is alive
47.
Difficult to forge
48.
49.
Thermogram can also
be used
50.
Merits: Can be
taken from distance
51.
Demerits: Can’t be
used for identification but can be used for verification
52.
53.
Fingerprint of Identical
Twins are different, even it differs from finger to finger
54.
Benefits: Easy to
Use, Cheap, Small Size, Low Power, etc
55.
Weakness: Distorts due
to Ageing, Cuts, Burns, etc
56.
57.
Merits: Very Simple,
Easy to Use, Cheap, etc
58.
Weakness: Lack of
Accuracy, Large size of scanner, etc
59.
60.
Merits:
61.
62.
63.
Even our two
eyes have different Pattern
64.
Scanner reads the
Blood Vessel Pattern
65.
Merits: Error rate
is very less
66.
Weakness: Slow, Can
reveal some Medical Conditions e.g.: Hypertension
67.
68.
Most insecure form
of Biometric Device
69.
Professional Forgers can
fool the system
70.
People may not
sign in identical manner
71.
72.
Two types of
system:
73.
Text-dependent Systems
74.
Text-independent Systems
75.
Demerits: Sensitive to
noise, Not appropriate for large scale application
76.
77.
Intra-class Variations
78.
Distinctiveness
79.
Non-universality
80.
81.
Multiple Biometrics
82.
Multiple Units of
Same Biometric
83.
Multiple Snapshots of
the Same Biometric
84.
Multiple Matchers
85.
86.
There are many
biometric products around, based on different biometric technologies
87.
Shortcomings of biometric
systems due to manufacturers ignorance of security concerns lack of quality control
88.
THANK YOU Any
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