It's a Presentation from THIAGARAJAR  POLYTECHNIC  COLLEGE (Autonomous Institution) Salem - 5 Tamilnadu THIAGARAJAR  POLYTECHNIC  COLLEGE (Autonomous Institution) Salem - 5
Presented & performed by Arunachalam. PL COMPUTER ENGINEERING
FACIAL RECOGNITION SYSTEMS
This Paper has been submitted under the  guidance of M.Saravanan (M.E) – Lecturer (Computer Engg).   PL.Sindhu B.E  – Lecturer (Computer Engg).   Over headed by MR.D.ARUL SELVAN M.E., Head Of the Department / Computer Engineering
TABLE OF CONTENTS HOW IT WORK BASELINE ALGORITHMS   INTRODUCTION 2D FACIAL RECOGNITION CURRENT & FUTURE USES   3D FACIAL RECOGNITION CONCLUSION BIBLIOGRAPHY
In the 1960s, scientists began work on using the  computer to recognize human faces.  Since then, facial recognition software has come a long  way. Facial recognition software is based on the ability to  recognize a face and then measure the various features  of the face. Every face has numerous, distinguishable landmarks, the  different peaks and valleys . Introduction
How Facial Recognition Systems Work The software measures :-  Distance between the eyes  Width of the nose  Depth of the eye sockets  The shape of the cheekbones  The length of the jaw line  These creates a numerical code, called a faceprint, representing the face in the database.
2D Facial Recognition
3D Facial Recognition Emerging trend in facial recognition software uses a 3D model, which provide more accuracy. It can even be used in darkness and has the ability to recognize a subject at different view angles. Using the 3D software, the system goes through a series of steps to verify the identity of an individual.
Working steps… Acquiring an image can be accomplished by digitally scanning device. Once it detects a face, the system determines the head's position, size and pose.
Working steps… The system then measures the curves of the face on a  sub-millimeter scale and creates a template.  The system translates the template into a unique code.
Working steps… If the image is 3D and the database contains 3D images, then matching will take place without any changes being made to the image.  In verification, an image is matched to only one image in the database
Current Uses Of Facial Recognition    Systems Software have been used by law enforcement agencies, who used the system to capture random faces in crowds.  photographs will be used to verify that the person who received the visa is the same person attempting to gain entry.
TIME TRACKING A4Vision, a creator of facial recognition software, is currently marketing a system that will keep track of employees' time and attendance.  Future Application Of Facial Recognition  Systems
Unique Feature Iris of an eye Facial recognition systems  uses unique features, like the iris of our eye, to identify us.
ORL DATABASE
3D Acquisition Systems Face specific Biometrics A4Vision Geometrix Modeling Cyberware Genex Inspeck Medeim General sensors Minolta V-910
Its time for a small Demo…
Booking Stations Repeat offenders are identified using facial recognition  searches. Arrestees can also be screened against terrorists and  other wanted individuals.
Inmate Visitation Screening
Visitation Screening Visitors are photographed using automatic face  standardization technology. Images are screened against database of prohibited  persons.
Visitation Viewing Station
Release Verification
Release Verification Purpose:- To confirm an inmate’s identify just before to  ` release.
Information Sharing
Investigative Browser Investigative Browser:- Web based Facial Recognition searches.  Able to search surveillance images.
www.logmein.com
Conclusion
Bibliography Simplicity is the key to Victory. Bruce Lee The Biometric Digest  -William Rogers and Associates Viisage manual  – Viisage software Book Website www.wikipedia.com www.howstuffworks.com www.technologyreview.com www.viisage.com
“ Things that think… don’t make sense unless they link.”

Facial Recognition System

  • 1.
    It's a Presentationfrom THIAGARAJAR POLYTECHNIC COLLEGE (Autonomous Institution) Salem - 5 Tamilnadu THIAGARAJAR POLYTECHNIC COLLEGE (Autonomous Institution) Salem - 5
  • 2.
    Presented & performedby Arunachalam. PL COMPUTER ENGINEERING
  • 3.
  • 4.
    This Paper hasbeen submitted under the guidance of M.Saravanan (M.E) – Lecturer (Computer Engg). PL.Sindhu B.E – Lecturer (Computer Engg). Over headed by MR.D.ARUL SELVAN M.E., Head Of the Department / Computer Engineering
  • 5.
    TABLE OF CONTENTSHOW IT WORK BASELINE ALGORITHMS INTRODUCTION 2D FACIAL RECOGNITION CURRENT & FUTURE USES 3D FACIAL RECOGNITION CONCLUSION BIBLIOGRAPHY
  • 6.
    In the 1960s,scientists began work on using the computer to recognize human faces. Since then, facial recognition software has come a long way. Facial recognition software is based on the ability to recognize a face and then measure the various features of the face. Every face has numerous, distinguishable landmarks, the different peaks and valleys . Introduction
  • 7.
    How Facial RecognitionSystems Work The software measures :- Distance between the eyes Width of the nose Depth of the eye sockets The shape of the cheekbones The length of the jaw line These creates a numerical code, called a faceprint, representing the face in the database.
  • 8.
  • 9.
    3D Facial RecognitionEmerging trend in facial recognition software uses a 3D model, which provide more accuracy. It can even be used in darkness and has the ability to recognize a subject at different view angles. Using the 3D software, the system goes through a series of steps to verify the identity of an individual.
  • 10.
    Working steps… Acquiringan image can be accomplished by digitally scanning device. Once it detects a face, the system determines the head's position, size and pose.
  • 11.
    Working steps… Thesystem then measures the curves of the face on a sub-millimeter scale and creates a template. The system translates the template into a unique code.
  • 12.
    Working steps… Ifthe image is 3D and the database contains 3D images, then matching will take place without any changes being made to the image. In verification, an image is matched to only one image in the database
  • 13.
    Current Uses OfFacial Recognition Systems Software have been used by law enforcement agencies, who used the system to capture random faces in crowds. photographs will be used to verify that the person who received the visa is the same person attempting to gain entry.
  • 14.
    TIME TRACKING A4Vision,a creator of facial recognition software, is currently marketing a system that will keep track of employees' time and attendance. Future Application Of Facial Recognition Systems
  • 15.
    Unique Feature Irisof an eye Facial recognition systems uses unique features, like the iris of our eye, to identify us.
  • 16.
  • 17.
    3D Acquisition SystemsFace specific Biometrics A4Vision Geometrix Modeling Cyberware Genex Inspeck Medeim General sensors Minolta V-910
  • 18.
    Its time fora small Demo…
  • 19.
    Booking Stations Repeatoffenders are identified using facial recognition searches. Arrestees can also be screened against terrorists and other wanted individuals.
  • 20.
  • 21.
    Visitation Screening Visitorsare photographed using automatic face standardization technology. Images are screened against database of prohibited persons.
  • 22.
  • 23.
  • 24.
    Release Verification Purpose:-To confirm an inmate’s identify just before to ` release.
  • 25.
  • 26.
    Investigative Browser InvestigativeBrowser:- Web based Facial Recognition searches. Able to search surveillance images.
  • 27.
  • 28.
  • 29.
    Bibliography Simplicity isthe key to Victory. Bruce Lee The Biometric Digest -William Rogers and Associates Viisage manual – Viisage software Book Website www.wikipedia.com www.howstuffworks.com www.technologyreview.com www.viisage.com
  • 30.
    “ Things thatthink… don’t make sense unless they link.”

Editor's Notes

  • #17 • 40 persons • 10 images per person • Different times,expressions,lightning and details (glasses)
  • #29 Face recognition systems were proposed to overcome expression, and pose challenges Illumination correction is simpler Facial landmark location can be easily identified.