13.face recog
- 1. Face Recognition B.RANJITHA REDDY , ANUSHA. K
- 2. Introduction to Biometrics The term "biometrics" is derived from the Greek words bio (life) and metric (to measure). The biometric provides most secure level of authorization.
- 3. Types Of Biometrics Physiological. Behavioral Physiological.: Physiological are related to the shape of the body. Examples include, fingerprint, face recognition , DNA, hand and palm geometry , iris recognition.
- 4. FINGER PRINT SPEECH RECOGNITION
- 5. History of Facial Recognition • Late 1980s: Research • Mid 1990s: Commercialization • Current - Authentication - ID - Law Enforcement
- 6. Theory Behind Facial Recognition I • Eigenface Technology: • Local Feature Analysis: 32-50 blocks
- 7. Theory Behind Facial Recognition II • Identalink TrueFace
- 8. Eye Identification Using Neural Networks • 2 Neural Networks - Finding the eyes - Identifying the person • Small vs Large Window
- 9. Infrared Images and Eigenfaces I • Training and Test set of images • Eigenface
- 10. Infrared Images and Eigenfaces II • Threshold Euclidean Distance
- 11. Scale-Space Approach from Profiles I • Profile Line • Locate Nose Tip
- 12. Scale-Space Approach from Profiles II • Locate Extrema (1, 2, 4-9) and Inflection Points (10 –12) • Feature Vectors • Euclidean Distance
- 13. Morphological Operations on Profiles I • 2-D shape represented by 1-D function • Dilation • Erosion
- 14. Morphological Operations on Profiles II • 3 Shapes: A, M1, M2 • 3 feature vectors - centroid face - centroid hair • Minimal Euclidean Distance between 2 profile images
- 15. Advantages Over Competing Systems • Voluntary Action vs Passive Usage • Data Acquisition • Environment interfacing is very less. • Cost is reasonable.
- 16. APPLICATIONS Facial Recognition Hand Geometry Iris Scan Retina Scan Vascular Patterns Finger print DNA
- 17. Project Selection / Outline • Algorithm: MATLAB implementation of face recognition profile matching • Database: MATLAB development of file system • Data Acquisition: Multimedia Lab video camera or digital camera
- 18. References • Ross Cutler, “Face Recognition Using Infrared Images and Eigenfaces”, April 1996. • Age Eide, Christer Jahren, Stig Jorgensen, Thomas Lindblad, Clark S. Lindsey, and Kare Osterud, “Eye Identification for Face Recognition with Neural Netowrks”, 1996. • Zdravko Liposcak and Sven Loncaric, “Face Recognition from Profiles Using Morphological Operators,” 1998. • Zdravko Liposcak and Sven Loncaric, “A Scale-Space Approach to Face Recognition from Profiles,” 1999.