This document discusses face recognition technology. It begins by outlining the topics that will be covered, which include why FRT is used, how it is implemented, applications, opposition to it, and its future. It then describes the accuracy and passive identification capabilities of FRT. It explains the verification and identification processes and the components involved, including the enrollment module, database, and identification module. It outlines the five step process of acquiring an image, locating the face, analyzing the facial image, comparing it to stored images, and determining a match or no match. Finally, it discusses some applications and opposition to FRT and envisions its future advancement and integration.

1. FACE RECOGNITION
TECHNOLOGY
T.DIVYA
ROLL NO.:08RG1A0481
E.C.E

2. Topics Of Discussion
 Why FRT?
 How to implement?
 Applications
 Opposition
 Future of face recognition

3. Why only Face Recognition?
 It is accurate
 No need of expert
 Passive identification in one to many
environment

4. Comparison types
 Verification
accomplished by system performing a
“one-to-many” search
 Identification
accomplished by the system performing
a “one-to-one” search

5. Components involved
 Enrolment module
 Data base
 Identification module

6. FIVE STEP PROCESS (STEP 1)
ACQUIRING THE IMAGE OF AN
INDIVIDUALS FACE
2 WAYS TO AQUIRE IMAGE
1)Digitally scan an existing photograph
2)Acquire a live picture of a subject

7. FIVE STEP PROCESS (STEP 2)
LOCATE IMAGE OF FACE
-software is used to locate the
faces in the image that
has been obtained

8. FIVE STEP PROCESS (STEP 3)
ANALYSIS OF FACIAL IMAGE
-software measures face according to is
peaks and valleys (nodal points)
-focuses on the inner region of the face
known as the “golden triangle”
-nodal points are used to make a face print

9. FIVE STEP PROCESS (STEP 4)
COMPARISON
-the face print created by the software is
compared to all face prints the system has
stored in its database.

10. FIVE STEP PROCESS (STEP 5)
MATCH OR NO MATCH
software decides whether or not any
comparisons from step 4 are close enough
to declare a possible match

11. FINAL STEP
 THE HUMAN OPERATOR

12. Applications
 Residential security
 Banking using ATM
 Voter identification
 Immigration
 …………………….

13. Not Everyone Loves Face Recognition
 Critics say it produces too many false
positives
 Invasion of privacy
 To easy to misuse for wrong purposes
 Technology is not accurate enough given
the current technology and algorithms

14. Future Of Face Recognition
 Some consider the problem impossible
 No standard way of approaching the
problem
 Advancements in hardware and software
 Slow integration into society in limited
environments
 Very large potential market

15. Thank you
?