FACE DETECTION

BY:-HANAN

CONTENTS Introduction

History

Uses

Advantages

Disadvantages/weak points

TYPE :- Biometric Software Application

An extremely useful biometrics technology that can identify a specific individual in a digital image by analyzing and comparing patterns.

History:-Developed in the 1960s

The first semi-automated system for face recognition required the administrator to locate features (such as eyes, ears, nose, and mouth) on the photographs before it calculated distances and ratios to a common reference point, which were then compared to reference data.)

Early Advancements:- In the 1970s, Goldstein, Harmon, and Lesk1 used 21 specific subjective markers such as hair color and lip thickness to automate the recognition.

PUBLIC ATTENTION :-

The technology first captured the public’s attention from the media reaction to a trial implementation at the January 2001 Super Bowl.

This technology was first used to identify mug shots by capturing surveillance images and comparing it with police database.

Masterminds behind advancements.

Back in 2001, two computer scientists, Paul Viola and

Michael Jones, triggered a revolution in the field of computer face detection.

Their breakthrough was an algorithm that could spot faces in an image in real time. Indeed, the so-called Viola-Jones algorithm was so fast and simple that it was soon built into standard point and shoot cameras.

FACE DETECTION (now a days)

Face detection now a days is fast , more accurate and easy.

Yesterday and Today

20th century We have to locate nose,mouth

e.t.c

Slow and less accurate.

Can detect only one face at a time.

Used only by government.

21st century Fully automatic detection.

Fast and accurate.

Capable of detecting multiple faces.

Everybody can use.

Patterns. Automatic . Single face. Multiple faces.

FOUR STAGES OF IDENTIFICATION

Capture-Capture the behavioral sample

Extraction-unique data is extracted from the sample and a template is created.

Comparison-the template is compared with a new sample.

Match/non match-the system decides whether the new samples are matched or not.

SUMMARY

The computer-based facial recognition industry has made many useful advancements in the past decade; however, the need for higher accuracy remains. Through the determination and commitment of industry, government evaluations, and organized standards bodies, growth and progress will continue, raising the bar for face-recognition technology.

Still working on algorithms to detect face form different angles.

(Note: The text above is taken from biometrics.gov)

USES OF FACE DETECTIONBY :- WAJAHATMUSAB

ADEELHANAN

Uses now a days

It is used in video surveillance, human computer interface and image database management.

Is widely used in Photography: In Photography Some recent digital cameras use face detection for autofocus

. Face detection is also useful for selecting regions of

interest in photo slideshows that use a pan-and-scale Ken Burns effect.

In Marketing

In Marketing Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by.

The system then calculates the race, gender, and age range of the face.

In offices:

It is used in offices now a days to mark attendance.

Much faster way to mark attendance.

Law enforcement :-

In 2001 face detection was used to identify mugshots and criminals.

This is how it got public attention.

Crime rate was reduced by 31% by use of this software. It compared faces by the police data base.

Face detection has make our life much easier.Now a days it is used of goverment,military and in offices.

It is widely used in mobiles,camera and laptops.

It has make our life more secure by face recognition screen lock.

Uses in military:-

Face detection is used in modern warfare. Most of the missile system use face detection to identify there target.

In Military facial recognition technology can be mounted on weapons and other platforms and used to identify potential terrorists where Recent trials were favourable.

Local uses:-

Outdoor surveillance camera service : Face and motion detection technology may help making a

good service to keep you secure. Firstly, it will give you a signal of somebody’s coming even before he rings the doorbell.

Summary

FACE DETECTION HAS CHANGED OUR LIFE IN MANY WAYS BUT STILL THERE IS NEED TO MAKE BETTER ALGORITHM TO DETECT FACE FROM MANY ANGLES.

Advantages of face recognition technology

Face recognition is ten times more accurate then other biometric software like fingerprint e.t.c.

It requires no physical interaction on behalf of user It is accurate and allows for high enrolment and verification Not require an expert to interpret the comparison result Can use your existing infrastructure Passive identification Convenient, social acceptability More user friendly Inexpensive technique of identification

High Success Rate Facial biometrics technology today has a high success rate. You can

feel secure knowing that your biometrics computer security system will be successful at tracking time and attendance while providing better security.

Automated Facial System 

Many companies like the fact that biometric imaging systems are automated. You won’t have to worry about having someone there to monitor the system 24 hours a day.

Better Security 

You’ll also enjoy better security with a face biometrics system. Not only can you track employees thru biometrics time attendance tracking, but any visitors can be added to the system and tracked throughout the area too. Anyone that is not in the system will not be given access

Face recognition (disadvantages)IT IS NOT 100% ACCURATE.

RESEARCHER DON’T HAVE CONSISTENCY IN MAKING THIS SOFTWARE.

Conditions in which face recognition does not work.

Poor lighting

Sunglasses

Long hair

Low resolution

Other objects on face eg tattoo

Face can be detected from front it is not applicable from left and right.

Measures taken to advance face recognition

Canada now allows only neutral facial expressions in passport photos.

On 18 January 2013 Japanese researchers created a privacy visor that uses infrared light to make the face underneath it recognizable.

Effectiveness

Critics of the technology complain that the London Borough of Newham scheme has, as of 2004, never recognized a single criminal, despite several criminals in the system's database living in the Borough and the system having been running for several years.

A system in Boston’s Logan Airport was shutdown in 2003 after failing to make any match during two year test period.

In Birmingham about 34% in crime rate was decreased, actually the system didn’t workout.

Comparing with other Technologies.

When we compare face recognition software with other technologies such as biometric tech, the face recognition didn’t give us effective result.

It is not reliable and efficient.

One advantage is that it doesn’t require test subject to run, when other techs like biometric, iris scan, voice recognition needs a test subject to run.

In crowded areas it work better than other.