Face recognization


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face recognition technology

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Face recognization

  2. 2. TABLE OF CONTENTS  Introduction.  2D Facial Recognition.  3D Facial Recognition.  Working Steps.  Hardware & Software requirements  Advantages & Disadvantages.  Applications of Face recognition.  Conclusion.
  3. 3. INTRODUCTION • In 1960’s Scientists began work on using the computer to recognize human faces • Since then, face recognition software has come a long way. • Facial recognition software is based on the ability to recognition a face and then measure various features of the face. • Every face has numerous, distinguishable landmarks, the different peaks and valleys.
  4. 4. HOW FACIAL RECOGNITION WORKS? The Software measures • Distance between the eyes • Width of the nose. • Depth of the eye sockets. • The shape of the cheek bones. • The length of jaw line. • These create a numerical code called face print, representing the face in the database.
  6. 6. 3D FACIAL RECOGNITION • Emerging trend in facial recognition software using 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 3D software ,the system goes through a series of steps to verify the identity of an individual.
  7. 7. 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.
  8. 8. WORKING STEPS… The system measures the curves of the face on a sub- millimeter scale and creates a template. The system translates the unique code .
  9. 9. 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.
  10. 10. HARDWARE AND SOFTWARE REQUIREMENTS Hardware requirements • Intel Pentium processor or any other compatible processor,1 GHz or greater • Minimum 128 MB of RAM capacity or more • Minimum of 32 MB Graphic Card RAM capacities or more • Recommended hard disk space of 1GB or more
  11. 11. HARDWARE AND SOFTWARE REQUIREMENTS Software requirements • Windows 2000/XP or above, Linux. Mac OS X, Unix • Python 2.5 • PyQt-Py 2.5
  12. 12. ADVANTAGES • Repeat offenders are identified using facial recovery. • It has been used by Law Enforcement Agencies to capture random faces in crowd. • It is used to verify that the person received the visa is same person attempting to gain entry. • Easy way to access personal accounts without remembering passwords.
  13. 13. DISADVANTAGES • Variant Pose may occur because people always don’t orient to camera • Different lighting and quality of camera may also effect recognition • Invasion of privacy • Too easy to misuse for wrong purposes
  14. 14. APPLICATIONS OF FACE RECOGNITION TECHNOLOGY • Multimedia Management • Security • Face ID • HCI - Human Computer Interaction • Law Enforcement
  15. 15. CONCLUSION The computer based face recognition industry has made much useful advancement in past decade however, the need for higher accuracy systems remains. Through the determination and commitment the progress will continue, raising the bar for face recognition technology.