facial recognition

Presented By:

Komal Dhiman

MCA 1st

Face recognition is a

biological characteristics

recognition technology,

using the inherent

physiological features of

humans for ID

recognition.

Facial recognition systems are

computer-based security

systems that are able to

automatically detect and

identify human faces by

comparing selected facial

features from the image and

a facial database.. These

systems depend on a

recognition algorithm, such

as eigenface .

Facial recognition technology falls into a larger group of technologies

known as biometrics. Biometrics uses biological information to verify

identity. Authentication methods include:

Fingerprint scan Retina scan Voice identification

When the system is attached

to a video surveillance

system , the recognition

software searches the field

of view of a video camera to

recognize a human face and

extract it from the rest of the

scene.

Nodal points

Distance between the eyes

Width of the nose

Depth of the eye sockets

The shape of the

cheekbones

The length of the jaw line

Hair color

Presence of glasses detection

Once a face is detected, the system

determines the head's position, size

and pose. A face needs to be turned

at least 35 degrees toward the

camera for the system to register it.

The image of the head is scaled

and rotated so that it can be

registered and mapped into an

appropriate size and pose.

The system translates the facial data into a unique code. This coding

process allows for easier comparison of the newly acquired facial

data to stored facial data.

The newly acquired facial data is compared to the stored data

and linked to at least one stored facial representation.

Some Softwares using FRS

Google’s Picasa Digital image organiser

Sony’s Picture Motion Browser

Windows Live Photo Gallery

Apple’s iPhoto image organiser

In Security Purposes

German Federal Police at Frankfurt Rhein-

Main international airport

Australia Custom Service (passport

verification)

US Department of State (for visa

processing)

Casinos (to catch blacklisted individual)

Police of Florida (to search for criminals

and terrorists)

Maxican govt.(to eliminate voter frauds)

Potential users

In companies Unlock mobile devices

Eliminating voter fraud In digital cameras

Computer security Check-cashing

identity verification

The main advantages are:

The information is unique for each individual and it can identify the individual in spite of variations in the time.

Faces can be captured from some distance away, with for example surveillance cameras.

Adaptability

cheap technology

Easy to use

Disadvantages

Differentiating twins is difficult.

If the person wore sunglasses

Lighting problem

Face recognition uses the spatial geometry of

distinguishing features of the face. The important

difference with other biometric solutions is that

faces can be captured from some distance away,

with for example surveillance cameras. Therefore

face recognition can be applied without the

subject knowing that he is being observed.

THANK YOU