1. Face Image Recognition Face recognition technology works well with most of the shelf PC cameras, generally requiring 320*240 resolution at 3~5 frames per second. Facial recognition software products range in price from US$50 to over US$1000, making one of the cheaper biometric technologies. Four primary methods used to identify or verify users by means of facial features, including eigenface, PCA, 2D-PCA, LDA, 2D-LDA, wavelet analysis, neural network, and ad hoc methods. Singular Value Decomposition and Pattern Recognition. Fast Fourier Transform and Wavelet Analysis  http://facial-scan.com/facial-scan_technology.htm http://facial-scan.com/facial-scan_technology.htm  http://www-white.media.mit.edu/vismod/demos/facerec http://www-white.media.mit.edu/vismod/demos/facerec

2. A Face Recognition Flowchart

3. Face Database YALE P. N. Belhumer, J. Hespanha, and D. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Face Recognition, 17(7):711--720, 1997. YALE B Georghiades, A.S. and Belhumeur, P.N. and Kriegman, D.J. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Trans. Pattern Anal. Mach. Intelligence 23(6):643-660 (2001). ORL Ferdinando Samaria, Andy Harter. Parameterisation of a Stochastic Model for Human Face Identification. Proceedings of 2nd IEEE Workshop on Applications of Computer Vision, Sarasota FL, December 1994 AR A.M. Martinez and R. Benavente. The AR Face Database. CVC Technical Report #24, June 1998

4. Faces From The Same Person

5. Cumulative Distributions of Same Faces

6. Faces from Different Persons

7. Cumulative Distributions of Different Faces

8. Fingerprint Image Verification/Identification Each fingerprint is a map of ridges and valleys in the epidermis layer of the skin. The ridge and valley structures from unique geometric patterns. A minutiae pattern consisting of ridge endings and bifurcations is unique to each fingerprint. Most of the contemporary automated fingerprint identification and verification systems (AFIS) are minutiae pattern matching systems. A modern AFIS is composed of 5 primary modules: (1) Image Enhancement, (2) Image segmentation and Thinning, (3) Minutiae Points Extraction, (4) Core and Delta Localization, and (5) Point Pattern Matching. A fingerprint forum provided 5 sets of small databases for researchers to evaluate their identification/verification software. SecuGen EyeD and Veridicom are two leading companies selling both commercial fingerprint identification/verification systems and sensors with resolution 500dpi. Veridicom FPS110 fingerprint reader sensed a 300*300 fingerprint image in a 2cm by 2cm area. http://www.networkusa.org/fingerprint.shtml http://bias.csr.unibo.it/fvc2000 http://bias.csr.unibo.it/fvc2004 http://www.fpusa.com

9. FINGERPRINTS.DEMON.NL

10. FVC 2004

12. A Paradigm for Fingerprint Matching

13. Fingerprints and Their Histograms

14. Fingerprint Image Processing

16. Thank You for Your Attention Koala Angel wishes you have a wonderful university life I am from Brisbane, Australia and sleep 16 hours each day but you should not ☆ March 02, 2009

17. Are They From the Same Person?

18. Are They the Same Person?