2. 2
OUTLINE
Introduction
User Authentication Approaches
What is Biometrics
Biometrics techniques
Requirements for an ideal biometric
Different Types of biometrics techniques
Different biometrics techniques concept
Biometric techniques factors of evaluation
Comparison of biometric techniques
Biometrics Identification & Verification
Biometrics System Stages
Fingerprint Technology
Fingerprint Threats
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INTRODUCTION
User Authentication Approaches
Use Something that you have
Use Something that you Know
Automated measurement of Physiological
Ex. Credit Card, Keys
Ex. Password, PIN
Can be Forgotten
and/or behavioral characteristics to
Determine or authenticate identity
Can Be lost
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INTRODUCTION “WHAT IS BIOMETRICS”
Automated measurement of Physiological and/or
behavioral characteristics to Determine or authenticate
identity
Automated measurement
No human involvement.
Comparison takes place in Real-Time
Physiological and/or behavioral characteristics
Behavioral as User speaks, typing on keyboard, name signature.
Physiological as Fingerprint, Hand, Eyes, Face
Determine or authenticate identity
Identification Systems Verification Systems
1. Who am I?
2. Determine Identity
1. Am I who I claim to be?
2. Authenticate Identity
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BIOMETRICS TECHNIQUES
Requirements for an ideal biometric
Universality
Each person should have the characteristic
Uniqueness
No two persons should have same characteristic
Permanence
The characteristic should not change
Performance
Accuracy, speed, robustness, resource requirements
Acceptability
Extend to people willing to accept a characteristic
Faked protection
How easy is to fool the system by fraudulent methods
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BIOMETRICS TECHNIQUES
Different Type of biometrics techniques
Identification and verification:
Fingerprint scan
Face recognition ( Facial scan )
Retina scan
Iris scan
Verification only:
Hand Geometry
Keystroke Dynamics
Mouse Dynamics
Gait Dynamics ( how people walk )
Voice Print
Signature
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
1. Fingerprint scan:
Measures unique characteristics in a fingerprint (minutiae)
Crossover
Core
Bifurcations
Ridge ending
Island
Delta
Pore
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
2. Facial scan:
Uses off-the-shelf camera to measure the following facial
features:
Distance between the eyes.
Distance between the eyes and nose ridge.
Angle of a cheek.
Slope of the nose.
Facial Temperatures.
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
3. Retina scan:
Measures unique characteristics of the retina :
Blood vessel patterns
Vein patterns
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
4. Iris scan:
Measures unique characteristics of the iris :
Ridges (rings)
Furrows
Striations (freckles)
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
5. Hand Geometry scan:
Measures the top and side of the hand, not the Palm
Hand Geometry.
Most widely used technique for physical access.
INSPASS System
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
6. Keystroke Dynamics:
Measures the time between strokes and duration of key
pressed.
Used in systems with keyboards.
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
7. Mouse Dynamics:
Researched and identified mouse movement categories and
features.
• Mouse Movement Categories
• Mouse Trajectory ( Path )
System wake up
Move and click
Highlight
Drag and drop
• Mouse Click
• Mouse wheel spin or scroll
• Mouse activity time
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
8. Gait Dynamics:
Recognize persons with the use of a standard cameras in any
conditions.
Particularly studied it may enable identification at distance
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
9. Voice Print:
Measures the sound waves of human speech.
user talks to a microphone a passphrase.
Voice print is compared to a previous one
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
10. Signature verification:
Measures speed, pressure, stroke order an image of signature.
Non-repudiation.
The movement of the pen during the signing process rather
than the static image of the signature.
Detect pen pressure, the sound the pen makes, Speed …etc
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BIOMETRICS TECHNIQUES
Different biometrics techniques concept
11. Palm vain recognition:
Measures the structure of the blood veins in a palm hand.
Near-infrared light detect an iron-containing pigment in
hemoglobin.
Pigments absorb the near-infrared light and reduce the
reflection rate causing the veins to appear as a black pattern
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BIOMETRICS TECHNIQUES
Biometric techniques factors of evaluation
False Acceptance Rate (FAR)
The system incorrectly declares Acceptance
False Rejection Rate (FRR)
The system incorrectly declares failure
Failure To Enroll Rate (FTE)
The percentage of data input that fails to input to the system
Ability To Verify (AVT)
AVT = (1 - FTE)(1 - FRR)
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BIOMETRICS TECHNIQUES
Comparison of biometric techniques
Technique Strengths Weaknesses
Fingerprint Mature technology
Highly accurate
Low cost, Small size, becoming widely
Users can create high FRR
Some persons dislike contact with
device
Face Widely acceptable to users, low cost No
direct contact
Passive monitoring possible
Less accurate than other methods
Retina Highly accurate Inconvenient for persons with glasses
Dislike contact with device and light
beam
Iris Highly accurate
Works with glasses
Acceptable to users than retina
New technology
Cost, although but is changing
Hand Accurate and flexible
Widely acceptable to users
User interface is bulky
Dislike contact with device
Voice Usable over telephone system
Good for remote access
Less accuracy
Subject to background noise
Signature Widely acceptable to users Less accuracy
Not widely used yet
but has potential with PDAs
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BIOMETRICS TECHNIQUES
Biometrics Identification & Verification
Verification, or 1-to-1:
Matches a person's claimed identity to his/her biometric and
one or more other security technologies (password, PIN,
Token).
Identification, or 1-to-Many:
Identifies a person from the entire enrolled population.
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BIOMETRICS TECHNIQUES
Fingerprint Technology
Light reflects from the surface of the prism where the
finger is not in contact with it, while it penetrates the
surface of the prism where the finger touches the
surface of the prism. The resulting image goes through
a lens into a video camera or sensor.
Light
source
Finger
Prism Lens
Video Camera (CCD)
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BIOMETRICS TECHNIQUES
Fingerprint Threats
Matsumoto’s Technique
You can place the “gummy finger” over your real
finger. Observers aren’t likely to detect it when
you use it on a fingerprint reader.