face recogntion

PROJECT PRESENTATION

ON

“FACE RECOGNITION TECHNOLOGY”

Submitted By :

Anupam Sharma

1“FACE RECOGNITION TECHNOLOGY”

Rohit Singh

Kamlesh Kumar

Shravan Kannaujiya

2“FACE RECOGNITION TECHNOLOGY”

1. Introduction

2. What are Biometrics

3. Face Recognition

4. All Identification and Authentication technology

5. Component of face recognition systems

6. Implementation of face recognition technology

7. Face image classification and decision making

8. How face recognition systems work

9. Face bunch graph

10. Main area which we have to apply

11. Advantages and Disadvantages

12. Applications

13. Conclusion

Outline

“FACE RECOGNITION TECHNOLOGY” 3

INTRODUCTION

Face recognition is a type of biometric software application that can identify

a specific individual in a digital image by analyzing and comparing patterns.

Face recognition systems are commonly used for security purposes but are

increasingly being used in a variety of other applications.


A biometric is a unique, measurable characteristic of a human being that can

be used to automatically recognize an individual or verify an individual identity.

Biometrics can measure both physiological and behavioral characteristics.

Physiological biometrics .

Physiological biometrics (based on measurements and data derived from direct the

human body) include:

a. Finger-scan ,

b. Facial Recognition,

c. Iris-scan ,

d. Retina-scan and

e. Hand-scan.

Behavioral biometrics (based on measurements and data derived from an action)

include:

a. Voice-scan ,

b. Signature-scan and

WHAT ARE BIOMETRICS


FACE RECOGNITION

The face is an important part of who you are and how people identify you.

For face recognition there are two types of comparisons.

1. verification

2. identification.

verification is where the system compares the given individual with who

that individual says they are and gives a yes or no decision..

identification is where the system compares the given individual to all the

Other individuals in the database and gives a ranked list of matches.


COMPONENTS OF FACE RECOGNITION SYSTEMS

The three main components of face recognition systems, they are as follows

Database

Enrollment module,

Identification module.


HOW FACE RECOGNITION SYSTEMS WORK

If you look at the mirror, you can see that your face has certain distinguishable

landmarks. These are the peaks and valleys that make up the different facial features.

There are about 80 nodal points on a human face. Here are few nodal points that are

measured by the software.

Distance between the eyes

Width of the nose

Depth of the eye socket

Cheekbones

Jaw line and

Chin

These nodal points are measured to create a numerical code, a string of numbers that

represents a face in the database. This code is called face print.

Only 14 to 22 nodal points are needed for face it software to complete the recognition

process


Face bunch graph


CAPTURING OF IMAGE BY STANDARD

VIDEO CAMERAS

The mage is optical in characteristics and may be thought of as a collection of a

large number of bright and dark areas representing the picture details.

In other words the picture information is a function of two variables:

Time and Space.


Main area which we have to apply

Airports and railway stations

Corporations

Cash points

Stadiums

Public transportation

Financial institutions

Government offices

Businesses of all kinds


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

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