| |
|
Slide 1 :
|
A SEMINAR ON BIOMETRICS FOR RECOGNITION Presented by
Abhinav prasad gupta M.Tech (Electronics) |
|
|
Slide 2 :
|
Presentation Outlines
Traditional methods of security
Need for biometrics
Biometrics recognition techniques
How biometrics work
Applications
|
|
|
Slide 3 :
|
ATMs
Cellular phones
Smart cards
Desktop PCs
Workstations
Computer
networks PINs and passwords may be forgotten,
Token-based identification methods such
as passports and driver’s licenses may be
forged, stolen, or lost. Why Biometrics ? |
|
|
Slide 4 :
|
Biometrics refers to the automatic
identification of a person based on his or
her physiological or behavioral
characteristics . WHAT IS BIOMETRICS ? BIO-Physical or Behavioral
METRICS-To measure characteristics |
|
|
Slide 5 :
|
Physical biometrics:
Fingerprint
Facial recognition/face location
Hand geometry
Iris scan
Retinal scan
Vascular patterns |
|
|
Slide 6 :
|
Behavioral biometrics:
Speaker/voicerecognition:
Analyzing vocal behavior
Signature/handwriting:
Analyzing signature dynamics
Keystroke/patterning:
Measuring the time spacing of
typed words |
|
|
Slide 7 :
|
Fingerprint recognition A live acquisition of a person’s fingerprint.
Dots (very small ridges),
Space between two temporarily divergent ridges),
Spurs (a notch protruding from a ridge),
Bridges (small ridges joining two longer adjacent ridges), crossovers (two ridges that cross each other).
|
|
|
|
|
Slide 9 :
|
Biometric sensor:-acquire images .
Preprocessing:-reference points
extraction,contour spacing,binarization.
Feature extraction:-removal of
noise,convert data into numeric feature
template.
Matcher:-
- Compare extraced template with
previously enrolled templates.
- Determine degree of similarity &
output matching score.
Decision:-matching score compare
with threshold. |
|
|
Slide 10 :
|
Hand or finger geometry is an automated measurement of many dimensions of the hand and fingers. Hand Geometry |
|
|
Slide 11 :
|
Iris recognition Iris scanning measures the iris pattern in the colored part of the eye, |
|
|
Slide 12 :
|
Steps to Facial Recognition Capture image
2. Find face in image
3. Extract features
(store template)
4. Compare templates
5. Declare matches |
|
|
Slide 13 :
|
Signature Verification :
an automated method of measuring an individual’s
signature.
This technology examines speed,direction, and pressure of writing; the time that the stylus is in and out of contact with the “paper.
Speaker / Voice Recognition:
Voice or speaker recognition uses vocal characteristics to identify individuals using a pass-phrase.
A telephone or microphone can serve as a
sensor, |
|
|
Slide 14 :
|
Keystroke Dynamics:
Keystroke dynamics is an automated method of examining an individual’s keystrokes on a keyboard.
This technology examines such dynamics
as speed and pressure, the total time taken to type particular words, and the time elapsed between hitting certain keys. |
|
|
Slide 15 :
|
Prevent unauthorized access to ATMs,
Cellular phones, Smart cards, Desktop
PCs, Workstations, Computer
network.
Criminal identification,prison security.
Electronic commerce,Electronic banking.
In automobiles biometrics can replace
keys with keyless entry devices.
Airport security,voter cards,civilian
applications. APPLICATIONS |
|
|
Slide 16 :
|
Conclusion:
Biometric is an emerging area with many opportunities for growth.
Possibly in the near future, you will not have to remember PINs and passwords and keys in your bags or pockets will be things of the past. |
|
|
Slide 17 :
|
REFERENCES
Michael J. Potel,”IEEE paper on Graphics and
Security: Exploring visual Biometrics”.
Bryan Lipinski,’’ Iris Recognition: Detecting the Iris ’’
J Daugman, How Iris Recognition Works, IEEE
Conf. on ICIP, 2002.
International Biometric Group website,
http://www.biometricgroup.com
|
|