This document provides an overview of facial recognition technology. It discusses how facial recognition works by measuring distinguishing features of the face. It covers 2D and 3D facial recognition, with 3D providing more accuracy. The document outlines the basic steps 3D facial recognition systems use to verify identity, including acquiring an image, determining head position/size, measuring facial curves to create a template, and matching templates. It also discusses the technology's advantages in identification, current and future applications, and some disadvantages regarding variations in poses, lighting and privacy issues.

1. FACE RECOGNIZATION
By
K.Mounika
K.S Mounika

2. TABLE OF CONTENTS
Introduction.
How it works?
2D Facial Recognization.
3D Facial Recognization.
Current And Future .
Base line Algorithms.
Conclusion.

3. INTRODUCTION
• In 1960’s Scientists began work on using
the computer to recognize human faces
• Since then, final recognization software
has come a long way
• Facial recognization software is based on
the ability to recognization a face and
then measure various features of the file
• Every face has numerous, distinguishable
landmarks, the different peaks and
valleys

4. HOW FACIAL RECOGNIZATION WORKS?
The Software measures
• Distance between the eyes
• Width of the nose.
• Depth of the eye sockets.
• The shape of the cheek bones.
• The length of jaw line.
• These create a numerical code
called face print, representing
the face in the database.

5. 2D FACIAL RECOGNIZATION

6. 3D FACIAL RECOGNIZATION
• Emerging trend in facial recognization software
using a 3D model which provide more accuracy.
• It can even be used in darkness and has the
ability to recognize a subject at different view
angles.
• Using 3D software ,the system goes through a
series of steps to verify the identity of an
individual.

7. WORKING STEPS…
•Acquiring an image can be
accomplished by digitally
scanning device.
•Once it detects a face,
the system determines the
head’s position, size and
pose.

8. WORKING STEPS…
The system measures the
curves of the face on a sub-
millimeter scale and creates
a template.
The system translates the unique
code .

9. WORKING STEPS…
If the image is 3D and the
database contains 3D images,
then matching will take place
without any changes being
made to the image.
In verification, an image is
matched to only one image in
the database.

10. HARDWARE AND SOFTWARE
REQUIREMENTS
Hardware requirements
• Intel Pentium processor or any other
compatible processor,1 GHz or greater
• Minimum 128 MB of RAM capacity or
more
• Minimum of 32 MB Graphic Card RAM
capacities or more
• Recommended hard disk space of 1GB or
more

11. HARDWARE AND SOFTWARE
REQUIREMENTS
Software requirements
• Windows 2000/XP or above, Linux. Mac OS
X, Unix
• Python 2.5
• PyQt-Py 2.5

12. ADVANTAGES
• Repeat offenders are identified using
facial recovery.
• It has been used by Law Enforcement
Agencies to capture random faces in
crowd.
• It is used to verify that the person
received the visa is same person
attempting to gain entry.
• Easy way to access personal accounts
without remembering passwords.

13. DISADVANTAGES
• Variant Pose may occur because
people always don’t orient to camera
• Different lighting and quality of
camera may also effect recognition
• Invasion of privacy
• Too easy to misuse for wrong
purposes

14. CONCLUSION
The computer based face recognition industry
has made much useful advancement in past
decade however, the need for higher accuracy
systems remains. Through the determination and
commitment the progress will continue, raising
the bar for face recognition technology.
FUTURE APPLICATION
A4vision, a creator of facial recognition software
is current marketing a system that will keep
track of employee’s time and attendance.