face recognition technology.....govt.polytechnic college perumbavvor......ct3 2012,vipin varghese.....

2. topic
Image Mode Face Recognition
• name
Presented By,
Vipin Varghese
S5,CT
Reg No : 10131279

3. CONTENTS
• Introduction
• Face recognition
• Image mode face recognition
• How face recognition system works
• Components of face recognition system
• Main area which we have to apply
• Implimentation of face recognition technology
• Advantage and Disadvantage
• Conclution

4. Introduction
In today's networked world, the need to maintain the
security of information or physical property is
becoming both increasingly important and
increasingly difficult.
Face recognition is one of the few biometric
methods that possess the merits of both high
accuracy.
Complex and largely software based technique
Analyze unique shape, pattern &positioning of facial
features
It compare scans to records stored in central or local
database or even on a smart card

5. WHAT IS BIOMETRICS?
It is a unique measurable characteristics of a
human being
Used to automatically recognize an individual’s
identity
Two types 1.physiological &
2. behavioral characteristics
A “biometric system” refers to integrated
hardware and software used to conduct
biometric identification

6. WHY WE CHOOSE FACE RECOGNITION
OVER OTHER BIOMETRICS
 It requires no physical interaction on behalf of
user
 It is accurate and allows for high enrolment and
verification
 Not require an expert to interpret the
comparison result
 Can use your existing infrastructure
 Passive identification

7. Face recognition
A facial recognition system is a computer
application for
automatically identifying or verifying a person
from a digital image from the source. One of
the ways to do this is by comparing
selected facial features from the image and a
facial database..

8. • Two types of comparison in face recognition
1.Verification- The system compare the given
individual with who that individual says they
are.
2.Identification-The system compares a given
individual to all the other individuals in the
database and gives a ranked list of matches.

9. STAGES OF IDENTIFICATION
Match/Non
match
Capture Extraction Comparison
Accept/Project

10. FOUR STAGES OF IDENTIFICATION
Capture-Capture the behavioral sample
Extraction-unique data is extracted from the
sample and a template is created.
Comparison-the template is compared with a
new sample.
Match/non match-the system decides whether the
new samples are matched or not.

11. 3D GRAPHICAL MODELS OF
FACES

12. COMPONENTS OF FACE RECOGNITION
Enrollment module-An automated mechanism
that scans and captures a digital or analog
image of a living personal characteristics.
Database-Another entity which handles
compression ,processing ,data storage and
compression of the captured data with stored
data.
Identification module-The third interfaces
with the application system.

13. Enrollment Module
Preprocessing Analysis
& Analysis
Data
segmentation
User
Interface
System
Data base
Face
Verification Module
Preprocessing& Face rag &
Analysis
Segmentation scoring
reject

15. THE SOFTWARE
• Detection
• Alignment
• Normalization
• Representation
• Matching

17. Image mode face recognition

18. HOW FACE RECOGNITION SYSTEMS
WORKS
Face Recognition runs in 3 steps:
1.The digital photo (or scanned photo print) that you
provide, is loaded
2.face detection technology is applied to automatically detect
human faces in your photo (*)
3.Face recognition technology is applied to recognize the
faces detected in the previous step.
Recognizing faces is done by algorithms that
compare the faces in your photo.

19. Main area which we have to apply
• Airports and railway stations
• Corporations
• Cashpoints
• Stadiums
• Public transportation
• Financial institutions
• Government offices
• Businesses of all kinds

20. ADVANTAGES AND DISADVANTAGES
ADVANTAGES
• Convenient, social acceptability
• More user friendly
• Inexpensive technique of identification
DISADVANTAGES
• Problem with false rejection when people change
their hair style, grow or shave a beard or wear
glasses.
• Face recognition systems can’t tell the
difference between identical twins

21. Refferrence
http://www.slideshare.net
http://www.seminarprojects.com
http:// www.face-rec.org
http://www.wikipedia.org/wiki/Facial_recognition_system

23. Any Doubts ……