1. Define and differentiate between static and dynamic biometric methods? (Slideshow Presentation)
A1.
2. Identify and briefly explain the 3 traits that can be physically identified to provide distinctiveness for biometric use. (Page 28-29)
A2.
3. Define the enrollment process. (Page 17, 31-33)
A3.
Enrollment is the procedure in which a data subject (or prospective enrollee) presents one or more biometric samples for processing into an acceptable template for future matching. ???
4. What is FTER and what is likely to happen with a high FTER? (Page 32,254,379)
A4.
The lack of success of enrollment is measured by the Failure To Enroll Rate (FTER). FTER is determined over the number of total persons attempting to enroll and those that were unsuccessful within the enrollment policy. The higher the FTER, the more likely that the biometric system will become ineffective for large numbers of enrollments.
5. What is the objective of Signal Processing as it relates to Biometrics. (Page 30, 33-34)
A5.
With biometrics, the objectives of signal processing are to remove noise from the data, locate the important parts of the data, and extract just the desired biometric features - a process also known simply as template creation.
6. What is another term for successful Signal Processing? (Page 33)
A6.
Being Discussed
7. List the key elements of biometric systems. (Page 28)
A7.
8. List and describe the four reasons the book lists as reasons to use biometrics. (Page 27)
A8.
9. List and briefly define the 3 "risks" when dealing with subverting the system. (Page 9-11)
A9.
10. How does an iris scan work? (Page 89-90)
A10.
Iris scans analyze the features that exist in the colored tissue surrounding the pupil which has more than 200 points that can be used for comparison, including rings, furrows and freckles. The scans use a regular video camera style and can be done from further away than a retinal scan. It will work through glasses fine and in fact has the ability to create an accurate enough measurement that it can be used for identification purposes, and not just verification.
11. Who developed the method used for performing iris scans? (Page 90)
A11.
Dr. John Daugman
12. List the three main methods that can be employed for template storage. (Page 39)
A12.
13. List the types of single finger flat scanners. (Page 61)
A13.
14. Compare and Contrast between the two models of fingerprint scanners. (Page 62)
A14.
15. Compare and Contrast FAR and FRR. (Page 34-36)
A15.
16. Compare and Contrast Retina scanning vs. Iris scanning. (Page 99)
A16.
While iris scanning has drawn recent attention for being the most accurate, both are regarded as highly accurate. Both are bases on well developed mature technologies. Retinal scanning lacks publicly available mathematical models to estimate and compare its strength of function. It has been suggested that the information space of retina encoding is less than iris encoding. both techniques are single-vendor, proprietary implementations that are known to function well for access control applications. Neither is by itself a magic solution to identification applications.
17. Be Prepared to discuss vulnerabilities of the most mature biometric? (Page 64,69)
A17.
18. Who sells 90% of Hand Geometry Readers? (Page 65)
A18.
Recognition Systems Inc., (RSI)
19. Who has deployed the largest application of hand geometry recognition system according to the test? (Page 65-69)
A19.
Disney World in Orlando, Florida
20. What is FERET and when was it created? (Page 73-74)
A20.
FacE REcognition Tests (FERET) was created in 1996. The 1996 FERET tests were sponsored by Army Research Laboratories and designed and orchestrated by Dr. Jonathan Phillips. The tests compared performance of several different face recognition algorithms against the same gallery of images. The 1996 FERET tests were significant because they encouraged and stimulated technology development in the 1990's, setting performance standards for improvement.
21. Define thoroughly an Eigenface? (Page 75)
A21.
Eigenfaces is the term used to categorize a second broad class of algorithms that represent and compare faces on the basis of a palette of facial abstraction images. Matthew Turk and Alex Pentland, demonstrated a process for how facial abstraction images, or characteristic eigenfaces, are generated from a collection of images, and then the faces are expressed as a weighted sum of these archetypal faces. Eigenface is used categorize a second broad class of algorithms that represent and compare faces on the basis of a palette of facial abstraction images.
22. What are some possible causes of a "flushed face"? (Page 77)
A22.
23. What are the four basic steps of speaker recognition? (Page 83-84)
A23.
Although they are accomplished in a variety of different ways, there are four basic steps to speaker recognition.
24. Define how Angiography works and why do it in the first place? (Page 98-99)
A24.
Angiography captures hundreds of dye-enhanced images over time and is concerned with investigating the details of blood circulation over the entire retinal surface. Angiography injects an orange or green dye into the subject's eye propr to the procedure. Angiography captures images of the entire retina for 5 to 10 minutes and retains all the images as the sequence information is necessary to reveal and understand circulatory rhythms. Angiography is an accepted diagnosis method within the medical community, that by design, reveals particular health information.
J.Dimsdale