1. FACE
RECOGNITION
TECHNOLOGY

2. Contents
 Introduction
 Biometrics
 Why FRT is having edge over other biometrics?
 Components of Face Recognition Technology
 Working of Face Recognition
 Merits and Demerits
 Applications

3. 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.
 We all know that bank and computer system uses PIN, Password,
ID’s ,Keys for identification/authentication. These system do not
grant access by “who we are” but by “what we have”.
 Recent cases of identity theft have heighten the needs for the
method to prove that someone is truly he/she claims to be.
 Technology become available to allow verification of “true”
individual identity. This tech. is based on field called
“biometrics”.
 Face Recognition is the fastest biometric technology. It works
with the most obvious individual identifier i.e. the human face
because it is undeniably connected to its owner and is non-
transferable.

4. Biometrics
 Biometrics includes the methods for uniquely recognizing
humans based on one or more physical or behavioral traits.
 Physiological biometrics : Based on measurements and data
derived from direct measurement of a part of the human body.
 Finger-scan
 Facial Recognition
 Iris-scan
 Retina-scan
 Hand-scan
 Behavioral biometrics : Based on measurements and data
derived from an action.
 Voice-scan
 Signature-scan
 Keystroke-scan

5. Biometrics
 The first time an individual uses a biometric system is called
an enrollment. During the enrollment, biometric information
from an individual is stored.

6. “Biometric System” Working
t Stored
m en
r oll Templates
Biometric System En
Test
Test
Feature Template
Pre-Processing Matcher
Extractor Generator
Sensor
Application
Devices

7. Why FRT is having edge over other Biometrics
 It requires no physical interaction on behalf of the user.
 It is accurate and allows for high verification rates.
 It does not require an expert to interpret the comparison result.
 It is the only biometric that allow you to perform passive
identification in a one to many environments.

8. “ Face Recognition System “ Components
 Enrollment Module
 Database
 Identification Module

9. Enrollment Module
Preprocessing Analysis
and Analysis Data
Segmentation
User System
Interface Database
Face
Verification / Identification Module
Preprocessing Face Recognition
and Analysis and
Segmentation Scoring
Accept / Reject

10. How “FRT” Work
 2D

11.  3D

12. STA (Surface Texture Analysis)
 It uses visual details of the skin, as captured in the standard
digital or scanned images.
 This technique does not scan the entire face but a patch of skin
on it. This patch is divided into blocks. The skin texture, the
pores on the skin and other such characteristics are converted
to a code, which is used for comparison.

13. Merits
 It is convenient and socially acceptable. All you need is your
picture taken for it to work.
 It is one of the most inexpensive biometric available in the
market.
 It is very Fast. Face matching template algorithm compares
1,00,000 faces per second.

14. Demerits
 Face Recognition has been working well with frontal faces and
20 degree off but as you move towards the profile there have
been problems.
 Does not work well because of poor lighting, sunglasses, long
hair, or other objects partially covering the subject’s face.
 Many systems are less effective if facial expressions vary. Even a
big smile can make the system less effective.

15. Applications
 Government Use
 Security/counterterrorism
 Immigration
 Voter verification
 Commercial Use
 Day care
 Residential security
 Banking using ATM

16. Questions ?

17. Thank You