The presentation for the Indo Australian Conference on IT Security 2005. The proceedings are also available in the link below. http://iacits2005.iitm.ernet.in/programme.php We are now developing a Palm Vein Authentication E-commerce Web Application for a US Retailer.

1. Face Recognition Benchmarks, Caveats, Comparisons and Directions Gurumurthi V. Ramanan AU-KBC RESEARCH CENTRE MIT, ANNA UNIVERSITY CHENNAI

2. Face Recognition-The Problem Given a digitised image containing the face of a person, extract the face region in the image and identify or verify the person in the image, from a database of face images.

7. Face Recognition- The Process

10. Face Recognition-Benchmarks Verification Rates Fig. 1. Verification performance is reported for all participants on the HCInt visa dataset. Verification performance is reported at a false accept rate of 1%. (Source: FRVT 2002 )

11. Face Recognition-Benchmarks Degradation in Verification Rates due to lighting conditions Fig. 2. Verification performance is reported for five categories of frontal facial images. Performance is reported for the best system and average of the top three systems in each category. The verification rate is reported at a false accept rate 1%. (Source: FRVT 2002 )

12. Face Recognition-Benchmarks Identification Rates Fig. 3. Identification performance for the three best systems on the HCInt visa dataset. The database consisted of 37,437 persons. Identification rates are reported for ranks 1, 10, and 50. (Source: FRVT 2002 )

13. Face Recognition-Benchmarks Identification Rates due to age Fig. 4. Identification performance is reported broken out by age of a person. Each bin is labelled by the age range it contains (five year intervals). Identification rate is the average for the top three systems. Performance is on a database of 37,437. (Source: FRVT 2002 )

14. Face Recognition-Benchmarks Degradation in Identification Rates due to time Fig. 5. Identification performance is reported broken out by elapsed time between database and new image. Performance is reported in 60-day intervals. The average rank one identification rate for the top three systems is reported on a database of 37,437 persons. (Source: FRVT 2002 )

22. Verification rates of the top three FR systems vs. single fingerprint matcher (Source: FRVT 2002 Evaluation report) Face Recognition vs. Fingerprints

27. Thank you