FACIAL RECOGNITION TECHNOLOGY

A seminar by: Vishal Garg CSE 4th Semester Shivalik College of Engineering

PRESENTATION OUTCOMES

• What is face Recognition?• How facial Recognition Works?• Current Status.• Major Challenges in Face Recognition.• Face Recognition Equipment.• PROS & CONS FACIAL RECOGNITION

SYSTEMS• Applicaions

WHAT EXACTLY IS FACIAL RECOGNITION TECHNOLOGY ?

A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database.It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition system.

History of Face Recognition 1. In 1960,scientist (Bledsoe,Helen,Charles)began

work on using the computer to recognise human faces.

2. Since then, facial recognition software has come a long way.

3. Facial recognition software is based on the ability to recognise a face and then measure the various feature of the face.

4.Every face has numerous, distinguishable landmarks, the different peaks and valleys.

WHY WE CHOOSE FACIAL RECOGNITION OVER OTHER

BIOMETRICS

It requires no physical interaction on behalf of the user.

It does not require an expert to interpret the comparison result.

Identify a particular person from large crowd.

Verification of credit card, personal ID, passport.

WORKING OF FR SYSTEMS:

FACIAL RECOGNITION Different methods of face

recognition.

Feature extraction methods Holistic methods Hybrid methods

HOW DOES A SYSTEM PERFORM THESE TASKS ?

Every face has at least 80 distinguishable parts called nodal points. Some of them are:

HOW DOES A SYSTEM PERFORM THESE TASKS ?

Every face has at least 80 distinguishable parts called nodal points. Some of them are:

1. Distance between the eyes

HOW DOES A SYSTEM PERFORM THESE TASKS ?

Every face has at least 80 distinguishable parts called nodal points. Some of them are:

1. Distance between the eyes2. Width of the nose

HOW DOES A SYSTEM PERFORM THESE TASKS ?

Every face has at least 80 distinguishable parts called nodal points. Some of them are:

1. Distance between the eyes2. Width of the nose3. Depth of eye sockets

HOW DOES A SYSTEM PERFORM THESE TASKS ?

Every face has at least 80 distinguishable parts called nodal points. Some of them are:

1. Distance between the eyes2. Width of the nose3. Depth of eye sockets4. Structure of cheek bones

HOW DOES A SYSTEM PERFORM THESE TASKS

?Every face has at least 80 distinguishable parts called nodal points. Some of them are:

1. Distance between the eyes2. Width of the nose3. Depth of eye sockets4. Structure of the cheek bones5. Length of jaw line

HOW DOES A SYSTEM PERFORM THESE TASKS ?

A general face recognition software conducts a comparison of these parameters to the images in its database.Depending upon the matches found, it determines the result.This technique is known as feature based matching and it is the most basic method of facial recognition.

MAJOR CHALLENGES IN FACIAL RECOGNITION

IN CROWD

DISGUISE VARIATIONS

MAJOR CHALLENGES IN FACIAL RECOGNITION

IN CROWD : The only way to overcome this challenge is better equipment, i.e. basically , use of high tech cameras.It is very much essential for the system to catch the image accurately.

PHOTOS TAKEN BY A SMART CAMERA IN A HUGE CROWD

DISGUISE VARIATIONS

DISGUISE VARIATIONS

The only way to overcome this challenge is better ALGORITHMS for facial recognitions. If the systems are programmed for every possible permutation and combination of the image, an accurate match can be achieved.

Some algorithms that try to overcome this problem are as follows:

-Half-face based algorithm-Perturbation Space Method(PSM).-Local binary pattern-Neural network, etc.

Perturbation Space Method

PSM algorithm that converts two dimensional image (e.g. photographs into three – dimensions (such a process is called “Morphing”).The three – dimensionsional representation of the head are then rotated inBoth the left-to-right and up-and down directions.

FACIAL RECOGNITION EQUIPMENTThe facial recognition equipment used for basic surveillance purpose has 3 important components.1. The camera or scanning device2. Infrared illuminator3. An efficient software

THE INFRARED ILLUMINATORAn IR-illuminator is a device that emits infrared light-low frequency electromagnetic radiation that's outside the visible spectrum. In other words, it gives off light that a camera can pick up and use, but that a person can't see-so while it's still dark to the human eye, the camera can see just fine.There are 3 main types of infrared illuminators namely diodes, lamps & lasers.

OFFICE FR EQUIPMENTFacial recognition is a very useful mechanism when it comes to office related user identification. One such example is a product of Havon industries called FaceID.Face ID is industry first embedded facial recognition system with leading “Dual Sensor” Facial Recognition Algorithm, which designed for application like physical access control and time attendance, identity management and so on.

FUTURE OF FACIAL RECOGNITION TECHNOLOGYIn around 10 years from now, it is being estimated that facial recognition technology will be the backbone of all major security, home and networking service. With the growth of social networking over the web, unbelievably accurate facial recognition algorithms and advanced equipment, a person’s face, no mater ageing or disguises or damage, can be recognized and data about that person can be produced.

Here is a small glimpse of what facial recognition technology would make of the future social networking….

Assuming amazing resolutions, facial and object recognition, this is how social networking would be in the future….

PROS & CONS OF SUCH HIGH END FACIAL RECOGNITION SYSTEMS IF MADE AVAILABLE TO THE MASSES

Pros:1.Better security systems.2.Easy user verifications.3.Greatly reduces current load on security and judicial systems.

Cons:1.Privacy issues.2.Even helps in kidnapping!3.Errors in detection may cause inconvenience to innocent users.

• Counting of people in aroom (e.g. fortemperature adjustment)

FACE RECOGNITION : APPLICATIONS

• Domestic security systems• Police surveillance• Domestic Computer / phone identification

systems• Employee management systems in

Companies.• National and International security

systems.

THANK YOU FOR YOUR TIME AND

SUPPORT…

A Presentation by: Vishal Garg CSE 4th Semester Shivalik College of Engineering

REFERENCES:

1. W. Bledsoe. Man-machine facial recognition2. T. Kanade Computer Recognition of Human Faces3. www.wikipedia.com4. www.authorstream.com5.www.howstuffworks.com6. www.inttelix.com7. www.face-rec.org8. www.facialrecognitionsolution.com9. www.facedetection.com