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UNIVERSITY OF LUCKNOW
DEPARTMENT OF ANTHROPOLOGY
FORENSIC SCIENCE
TOPIC- ¡°FACE RECOGNITION¡±
Submitted by:
Anjali Awasthi
M.Sc. 4th Sem.
CONTENTS
? Introduction
? Types of biometrics
? Face recognition
? Categorization
? Processing workflow
? Application
BIOMETRICS
The meaning of biometrics comes from the
Greeks- Bio= Life
Metry=To measure
¡°Biometric is the science and technology of
measuring and analyzing biological data.¡±
TYPES OF BIOMETRIC
There are two types of biometric:-
? Physiological:-
1. Fingerprint
2. Face Recognition
3. Hand Geometry
4. Iris Recognition
5. DNA
? Behavioral:-
1. Voice Recognition
2. Keystroke
3. Signature
FACE RECOGNITION
Face recognition is a task that humans perform
routinely and effortlessly in our daily lives. Face
recognition, as one of the major biometric
technologies, has become increasingly
important owing to rapid advances in image
capture devices (surveillance cameras, camera
in mobile phones), availability of huge amounts
of face images on the Web, and increased
demands for higher security.
The first automated face recognition system was
developed by Takeo Kanade in his Ph.D. thesis
work in 1973. In the constrained situations, for
example where lighting, pose, stand-off, facial
wear, and facial expression can be controlled
,automated face recognition can surpass human
recognition performance, especially when the
database (gallery) contains a large number of
faces.
CATEGORIZATION
As a biometric system, a face recognition system operates in
either or both of two modes:
(1) face verification (or authentication)
(1:1matching)
(2) face identification (or recognition)
(1:Nmatching)
PROCESSING WORKFLOW
APPLICATIONS
? Face ID
? Access control
? Security
? Surveillance
? Smart cards
? Law enforcement
? Face databases
? Multimedia management
? Human Computer Interaction (HCI)
? Others
Face recognition

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Face recognition

  • 1. UNIVERSITY OF LUCKNOW DEPARTMENT OF ANTHROPOLOGY FORENSIC SCIENCE TOPIC- ¡°FACE RECOGNITION¡± Submitted by: Anjali Awasthi M.Sc. 4th Sem.
  • 2. CONTENTS ? Introduction ? Types of biometrics ? Face recognition ? Categorization ? Processing workflow ? Application
  • 3. BIOMETRICS The meaning of biometrics comes from the Greeks- Bio= Life Metry=To measure ¡°Biometric is the science and technology of measuring and analyzing biological data.¡±
  • 4. TYPES OF BIOMETRIC There are two types of biometric:- ? Physiological:- 1. Fingerprint 2. Face Recognition 3. Hand Geometry 4. Iris Recognition 5. DNA
  • 5. ? Behavioral:- 1. Voice Recognition 2. Keystroke 3. Signature
  • 6. FACE RECOGNITION Face recognition is a task that humans perform routinely and effortlessly in our daily lives. Face recognition, as one of the major biometric technologies, has become increasingly important owing to rapid advances in image capture devices (surveillance cameras, camera in mobile phones), availability of huge amounts of face images on the Web, and increased demands for higher security.
  • 7. The first automated face recognition system was developed by Takeo Kanade in his Ph.D. thesis work in 1973. In the constrained situations, for example where lighting, pose, stand-off, facial wear, and facial expression can be controlled ,automated face recognition can surpass human recognition performance, especially when the database (gallery) contains a large number of faces.
  • 8. CATEGORIZATION As a biometric system, a face recognition system operates in either or both of two modes: (1) face verification (or authentication) (1:1matching) (2) face identification (or recognition) (1:Nmatching)
  • 10. APPLICATIONS ? Face ID ? Access control ? Security ? Surveillance ? Smart cards ? Law enforcement ? Face databases ? Multimedia management ? Human Computer Interaction (HCI) ? Others