Face Recognition Technology


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Face Recognition Technology

  2. 2. Contents Introduction Biometrics Why FRT is having edge over other biometrics? Components of Face Recognition Technology Working of Face Recognition Merits and Demerits Applications
  3. 3. Introduction In todays networked world, the need to maintain the security of information or physical property is becoming both increasingly important and increasingly difficult. We all know that bank and computer system uses PIN, Password, ID’s ,Keys for identification/authentication. These system do not grant access by “who we are” but by “what we have”. Recent cases of identity theft have heighten the needs for the method to prove that someone is truly he/she claims to be. Technology become available to allow verification of “true” individual identity. This tech. is based on field called “biometrics”. Face Recognition is the fastest biometric technology. It works with the most obvious individual identifier i.e. the human face because it is undeniably connected to its owner and is non- transferable.
  4. 4. Biometrics Biometrics includes the methods for uniquely recognizing humans based on one or more physical or behavioral traits. Physiological biometrics : Based on measurements and data derived from direct measurement of a part of the human body.  Finger-scan  Facial Recognition  Iris-scan  Retina-scan  Hand-scan Behavioral biometrics : Based on measurements and data derived from an action.  Voice-scan  Signature-scan  Keystroke-scan
  5. 5. Biometrics The first time an individual uses a biometric system is called an enrollment. During the enrollment, biometric information from an individual is stored.
  6. 6. “Biometric System” Working t Stored m en r oll Templates Biometric System En Test Test Feature TemplatePre-Processing Matcher Extractor Generator Sensor Application Devices
  7. 7. Why FRT is having edge over other Biometrics It requires no physical interaction on behalf of the user. It is accurate and allows for high verification rates. It does not require an expert to interpret the comparison result. It is the only biometric that allow you to perform passive identification in a one to many environments.
  8. 8. “ Face Recognition System “ Components Enrollment Module Database Identification Module
  9. 9. Enrollment Module Preprocessing Analysis and Analysis Data Segmentation User SystemInterface Database Face Verification / Identification Module Preprocessing Face Recognition and Analysis and Segmentation Scoring Accept / Reject
  10. 10. How “FRT” Work 2D
  11. 11.  3D
  12. 12. STA (Surface Texture Analysis) It uses visual details of the skin, as captured in the standard digital or scanned images. This technique does not scan the entire face but a patch of skin on it. This patch is divided into blocks. The skin texture, the pores on the skin and other such characteristics are converted to a code, which is used for comparison.
  13. 13. Merits It is convenient and socially acceptable. All you need is your picture taken for it to work. It is one of the most inexpensive biometric available in the market. It is very Fast. Face matching template algorithm compares 1,00,000 faces per second.
  14. 14. Demerits Face Recognition has been working well with frontal faces and 20 degree off but as you move towards the profile there have been problems. Does not work well because of poor lighting, sunglasses, long hair, or other objects partially covering the subject’s face. Many systems are less effective if facial expressions vary. Even a big smile can make the system less effective.
  15. 15. Applications Government Use  Security/counterterrorism  Immigration  Voter verification Commercial Use  Day care  Residential security  Banking using ATM
  16. 16. Questions ?
  17. 17. Thank You