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Presented by- Rahul Mondal
REGISTRATION NO-VU211002779 OF 2021-2022
ROLL-45121102NO-018
Content
Introduction
Terms of Biometrics
Types of Biometric Recognition
Procedure of Working
Applications of Biometric Systems
Conclusion
Sources
Introduction
•Biometrics refers to the automatic identification of a
person based on his or her physiological or behavioral
characteristics .
• The technology is mainly used for identification and
access control or for identifying individuals who are
under surveillance.
Terms of Biometrics
 Authentication  Verification  Identification
Types of Biometrics Recognition
•Finger print Recognition
•Vascular Pattern Matching
•Iris Recognition
•Facial Recognition
•Retina Recognition
Finger Print Recognition Vascular Pattern Matching
• Fingerprint recognition is the
process of the verification of a
person's identity by
comparing their fingerprints
with previously recorded
samples.
• Overview of vascular pattern
recognition, also called vein
pattern authentication
which uses near-infrared light
to derive images of blood
vessels of a hand or finger for
personal recognition.
Iris Recognition Facial Recognition
• Iris recognition is an
automated method of biometric
identification that uses
mathematical pattern-
recognition techniques on
video images of one or both of
the irises of an individual's
eyes.
• Facial recognition is a way
of identifying or confirming
an individual's identity using
their face. Facial recognition
systems can be used to
identify people in photos,
videos, or in real-time.
Retina Recognition
• One of the most secure means
of biometrics
• Unique to each person
• Unique to each eye
• Problems: require effort on the
part of subjects
Procedure of Working
For capturing a person in a biometric system, an image of the original
feature is first created and recorded, which is the raw data in the
process.
Applications of Biometric Systems
Commercial Applications
Government Applications
Forensic Applications
Commercial Applications
 Computer login
 Electronic Payment
 ATMs
 Record Protection
Government Applications
 Passport control
 Border control
 Access Control
Forensic Applications
 Missing Persons
 Corpse identification
 Criminal investigations
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.
Sources
•en.wikipedia.org
•www.sciencedirect.com
•www.biometricsinstitute.org
Thank You

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Biometrics new by rahul mondal made .pptx

  • 1. Presented by- Rahul Mondal REGISTRATION NO-VU211002779 OF 2021-2022 ROLL-45121102NO-018
  • 2. Content Introduction Terms of Biometrics Types of Biometric Recognition Procedure of Working Applications of Biometric Systems Conclusion Sources
  • 3. Introduction •Biometrics refers to the automatic identification of a person based on his or her physiological or behavioral characteristics . • The technology is mainly used for identification and access control or for identifying individuals who are under surveillance.
  • 4. Terms of Biometrics  Authentication  Verification  Identification
  • 5. Types of Biometrics Recognition •Finger print Recognition •Vascular Pattern Matching •Iris Recognition •Facial Recognition •Retina Recognition
  • 6. Finger Print Recognition Vascular Pattern Matching • Fingerprint recognition is the process of the verification of a person's identity by comparing their fingerprints with previously recorded samples. • Overview of vascular pattern recognition, also called vein pattern authentication which uses near-infrared light to derive images of blood vessels of a hand or finger for personal recognition.
  • 7. Iris Recognition Facial Recognition • Iris recognition is an automated method of biometric identification that uses mathematical pattern- recognition techniques on video images of one or both of the irises of an individual's eyes. • Facial recognition is a way of identifying or confirming an individual's identity using their face. Facial recognition systems can be used to identify people in photos, videos, or in real-time.
  • 8. Retina Recognition • One of the most secure means of biometrics • Unique to each person • Unique to each eye • Problems: require effort on the part of subjects
  • 9. Procedure of Working For capturing a person in a biometric system, an image of the original feature is first created and recorded, which is the raw data in the process.
  • 10. Applications of Biometric Systems Commercial Applications Government Applications Forensic Applications
  • 11. Commercial Applications  Computer login  Electronic Payment  ATMs  Record Protection Government Applications  Passport control  Border control  Access Control Forensic Applications  Missing Persons  Corpse identification  Criminal investigations
  • 12. 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.