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07-09-2009, 06:59 AM
Post: #1
Seminar Report On Face Recognition Technology

.pptx  Face Recognition Technology.pptx (Size: 479.9 KB / Downloads: 1265)
The information age is quickly revolutionizing the way transactions are completed. Everyday actions are increasingly being handled electronically, instead of with pencil and paper or face to face. This growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use PINâ„¢s for identification and security clearences.


FACE RECOGNITION TECHNOLOGY

INTRODUCTION

Complex and largely software based technique
Analyze unique shape, pattern &positioning of facial features
It compare scans to records stored in central or local database or even on a smart card

WHAT IS BIOMETRICS

It is a unique measurable characteristics of a human being
Used to automatically recognize an individualâ„¢s identity
Two types 1.physiological &
2. behavioral characteristics include
A biometric system refers to integrated hardware and software used to conduct biometic identification


WHY WE CHOOSE FACE RECOGNITION OVER OTHER BIOMETRICS

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

FACE RECOGNITION

Two types of comparison in face recognition
1.Verification- The system compare the given individual with who that individual says they are.
2 .Identification-The system compares a given individual to all the other individuals in the database and gives a ranked list of matches.

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.

COMPONENTS OF FACE RECOGNITION

Enrollment module-An automated mechanism that scans and captures a digital or analog image of a living personal characteristics
Database-Another entity which handles compression ,processing ,data storage and compression of the captured data with stored data
Identification module-The third interfaces with the application system

PERFORMANCE

False Acceptance Rate [FAR]
False Rejection Rates [FRR]
Response time
Threshold/decision Threshold
Enrollment time
Equal error rate

IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY.

Data acquisition
Input processing
Face image classification
Decision making

THE SOFTWARE

Detection
Alignment
Normalization
Representation
Matching

ADVANTAGE
Convenience and social acceptability
Easy to use
Inexpensive biometric

DISADVANTAGE

Face recognition systems canâ„¢t tell the difference between identical twins

APPLICATIONS

Government Use
1. Law enforcement
2.Security/counterterrorism
3.Immigration
Commercial Use
1.Day care
2.Residential security
3.Voter verification
4.Banking using ATM

CONCLUSION

Face recognition technologies have been
associated generally with very costly top secure
applications. Today the core technologies have
evolved and the cost of equipments is going down
dramatically due to the integration and the
increasing processing power. Certain applications
of face recognition technology are now cost
effective ,reliable and highly accurate. As a result
there are no technological or financial barriers for
stepping from the pilot project to widespread
deployment


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12-04-2010, 08:46 PM
Post: #2
RE: Seminar Report On Face Recognition Technology
Identix, a company based in Minnesota, is one of many developers of facial recognition technology. Its software, FaceIt, can pick someone's face out of a crowd, extract the face from the rest of the scene and compare it to a database of stored images. In order for this software to work, it has to know how to differentiate between a basic face and the rest of the background. Facial recognition software is based on the ability to recognize a face and then measure the various features of the face

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29-06-2010, 12:00 AM
Post: #3
RE: Seminar Report On Face Recognition Technology
to get information about the topic face recognition technology full report ppt, and related topics refer the link bellow

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http://www.seminarprojects.com/Thread-fa...ort?page=4

http://www.seminarprojects.com/Thread-se...technology

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02-10-2010, 10:56 AM
Post: #4
RE: Seminar Report On Face Recognition Technology
Introduction
The ability to recognize people by their facial characteristics. The most advanced technology is based on the Eigenface algorithm, which maps the characteristics of a person's face into a multidimensional face space. Computers can conduct facial database searches and/or perform live, one-to-one or one-to-many verifications with unprecedented accuracy and split-second processing. Users can be granted secure access to their computer, mobile devices, or for online e-commerce, simply by looking into their Web camera.


Attached File(s)
.ppt  pres-facereco.ppt (Size: 806 KB / Downloads: 273)
06-10-2010, 11:12 AM
Post: #5
RE: Seminar Report On Face Recognition Technology

.doc  FACE RECOGNITION TECHNOLOGY.doc (Size: 47.5 KB / Downloads: 300)
FACE RECOGNITION TECHNOLOGY
A SEMINAR REPORT



Submitted by
AJIT KUMAR ASHWANI
in partial fulfillment for the award of the degree
of
BACHELOR OF TECHNOLOGY
in
COMPUTER SCIENCE & ENGINEERING
SCHOOL OF ENGINEERING
COCHIN UNIVERSITY OF SCIENCE &TECHNOLOGY,
KOCHI – 682022


ABSTRACT
Wouldn’t you love to replace password based access control to
avoid having to reset forgotten password and worry about the integrity of
your system? Wouldn’t you like to rest secure in comfort that your
healthcare system does not merely on your social security number as proof
of your identity for granting access to your medical records?
Because each of these questions is becoming more and more
important, access to a reliable personal identification is becoming
increasingly essential .Conventional method of identification based on
possession of ID cards or exclusive knowledge like a social security
number or a password are not all together reliable. ID cards can be lost
forged or misplaced; passwords can be forgotten or compromised. But a
face is undeniably connected to its owner. It cannot be borrowed stolen or
easily forged.
Face recognition technology may solve this problem since a
face is undeniably connected to its owner expect in the case of identical
twins. It’s nontransferable. The system can then compare scans to records
stored in a central or local database or even on a smart card.
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