Bio metrics for IT and technology

2.  Our group members
 P.M.G.W.N. Bandara IT79
 D.M.C.C. Disanayake IT64
 W.P.R.M. Lahiru IT69
 W.R. Berenger IT67
 Shamika IT80
 Sameera Wijekumara IT76

4. Automated measurement”
 No human involvement.
 Comparison takes place in Real-Time.
›DNA is not a Biometric

5. Physiological and/or behavioral characteristics
1. Behavioral:
User speaks.
Signs name
2. Physiological:
Fingerprint
Hand
Eyes
Face

6. determine or authenticate identity
 Verification Systems
› More accurate.
› Less expensive.
› Faster.
› More limited in function.
› Requires more effort by user.

11.  Passwords are not reliable.
› Too many
› Can be stolen
› Forgotten
 Protect Sensitive Information
› Banking
› Medical

13. 1. Cell phones, Laptops, Work
Stations, PDA & Handheld device
set.
2. Door, Car, Garage Access
3. ATM Access, Smart card
Image Source : http://www.voice-security.com/Apps.html

14. 1. Criminel Tracking
e.g. Fingerprints, DNA Matching
2. Car Park Surveillance
3. Frequent Customer Tracking

15. Biometrics Vendor
s
Market
Share
Applications
Fingerprint 90 34% Law enforcement; civil
government; enterprise
security; medical and
financial transactionsHand Geometry - 26% Time and attendance systems,
physical access
Face
Recognition
12 15% Transaction authentication;
picture ID duplication
prevention; surveillance
Voice
Authentication
32 11% Security, V-commerce
Iris
Recognition
1 9% Banking, access control

16. The Head
The Eye The Face The Voice
Eye-Dentify
Iri Scan
Sensar
Iridian
Visionics
Miros
INTELLiTRAK
QVoice
VoicePrint
Nuance
The Hand
The Fingerprint Hand Geometry Behavioral
Identix
BioMouse
The FingerChip
Veridicom
Advanced Biometrics
Recognition Systems
BioPassword
CyberSign
PenOp
Other Information
Bertillonage
International Biometric Group
Palmistry

18.  Biometrics work by recording and
comparing biometric characteristics.
 There are two type for biometric recognition
1. Identification
2. Verification

19. It mean identify and analyze the humane
unique characteristic.
 It can divided in two types
1. Behavioral
2. Physiological

20.  Fingerprint
 Face Recognition
 Signature
 Iris Scan
 Hand

21.  Firstly collects data and information convert
to digital format.

22.  Then process the information and keep it.
Because that need to compare with new
biometric data

23.  After check and compare with new biometric
data with data storage.

24.  Finally recognize whether that information
are real
 E.g.- In ATM machine verify your pass word
or finger mark & If it is true then you can
withdraw money.

26.  There are many types of bio metrics devices
 Commonly using 5 types of devices
1. Iris scanner
2. Finger print scanner
3. Facial Biometrics
4. Voice Recognition
5. Other

27.  This scanner use for identify humens iris

28.  Private and government sectors is using
Finger print devices
 Earlier days used ink and paper method

29.  Each and every persons have different and
unique face.
 Use series of images for identify persons

30.  Some computer systems have voice
recognition method
 Voice recognition is not the same as speech
recognition, it is speaker recognition

32. .
.
 FINGERPRINTS
ADVANTAGES
 A long-used method that
is familiar and generally
quick perform.
Fingerprints are unique.
A set of 10 prints yields
highly accurate results.
Cheap and easy to use.
DISADVANTAGES
 Some people have poor
prints because of
injury,age, disease or
occupation. Requires
physical contact with a
sensor and may have
negative connotations
because of use by
lawenforcement.

33. .
.
ADVANTAGES.
 Fast and easy to use.
Rugged and works
welloutdoors.
DISADVANTAGES.
 Not suited for picking
someone out of a large
group. Sensors are large
and relatively expensive

34. .
ADVANTAGES.
 Can use standard
microphone or telephone
handset and existing
telephone lines.
DISADVANTAGES
 Background noise,
illness or stress can
affect voice samples.
Most accurate if similar
instruments capture
voice samples at
enrollment and
verification points. Not
suited for picking
someone out of a large
group.