This document discusses biometric security measures that use unique physical characteristics to identify individuals. It examines various biometric techniques including fingerprints, voiceprints, facial features, iris patterns, and hand geometry. Each method is analyzed in terms of its strengths, weaknesses, potential attacks, and defenses. The document also outlines the typical stages involved in biometric systems such as data collection, transmission, processing, storage, and matching.

2.  Biometric security is a security, measure unique characteristics of a person,
such as voice pattern, retina pattern of the eye or finger print patterns. This
system automatic and instant verification of an individual's physical
characteristics.

3.  Traditional methods involving passwords and PIN numbers
 Specific physiological or behavioral characteristics
 Biometrics highest level of security

4.  Fingerprints
 Voiceprints
 Facial features
 Iris patterns
 Hand geometry

5.  Data Collection
 Transmission
 Signal Processing
 Data Storage
 Decision

6.  A live acquisition of a person’s fingerprint.
 Image Acquisition  Image Processing  Template Creation  Template
Matching
 Acquisition Devices:
 Glass plate
 Electronic
 Ultrasound

7.  Strengths:
 Fingerprints don’t change over time
 Widely believed fingerprints are unique
 Weaknesses:
 Scars
 Attacks:
 Surgery to alter or remove prints
 Finger Decapitation
 Corruption of the database
 Defenses:
 Measure physical properties of a live finger (pulse)

8.  Based on video Images
 Templates can be based on previously-recorded images
 Technologies:
 Eigen face Approach
 Feature Analysis
 Neural Network

9.  Strengths:
 Database can be built from driver’s license records, visas, etc.
 Can be applied covertly (surveillance photos).
 Few people object to having their photo taken.
 Weaknesses:
 No real scientific validation
 Attacks:
 Surgery
 Facial Hair
 Hats
 Turning away from the camera
 Defenses:
 Scanning stations with mandated poses

10.  Scripted vs. non-scripted

11.  Strengths:
 Most systems have audio hardware
 Works over the telephone
 Can be done covertly
 Lack of negative perception
 Weaknesses:
 Background noise (airplanes)
 No large database of voice samples
 Attacks:
 Tape recordings
 Identical twins / sound-alikes
 Defenses: No defenses

12.  Image Acquisition  Image Processing  Template Creation  Template
Matching
 Uses to date:
 Physical access control
 Computer authentication

13.  Strengths:
 300+ characteristics; 200 required for match
 Weaknesses:
 Fear
 Discomfort
 Proprietary acquisition device
 Algorithms may not work on all individuals
 No large databases
 Attacks:
 Surgery
 Defenses: No defenses

14.  Typical systems measure 90 different features:
 Overall hand and finger width
 Distance between joints
 Bone structure
 Primarily for access control:
 Machine rooms
 Olympics

15.  Strengths:
 No negative connotations – non-intrusive
 Reasonably robust systems
 Weaknesses:
 Accuracy is limited; can only be used for 1-to-1 verification
 Bulky scanner

16.  Widely accepted for crime scenes

17.  Biometric system is not independent as a module for entire computer security
area.
 Some problem in computer security will be solve appropriately for each
person’s identity before they will enter or across to other systems.
 Scientists are still trying improve performance of biometric system with more
enhancement of computer security.

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 https://www.google.com.bd/url?sa=Fbiometrics-final-
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 https://www.google.com.bd/url?sa=t&rct=j&q=&esrc=s&sourcedefinition%2F
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