1. Explain each of the three levels of fingerprint resolution and give examples of the type of features found in each.
2. Compare and contrast fingerprint acquisition methods (e.g., optical, capacitive, ultrasound). Discuss the advantages and limitations of each method.
3. Analyze the factors that can affect the performance of fingerprint biometric systems. How do issues like aging, environmental conditions, and sensor quality impact system accuracy?
4. What are the common challenges associated with fingerprint acquisition in real-world scenarios (e.g., dry fingers, partial prints)? How are these challenges mitigated?
5. Fingerprint data is considered sensitive personal information. Discuss the ethical and privacy implications of storing and using fingerprint data for authentication.
6. What are the security risks associated with fingerprint biometric systems? Discuss potential vulnerabilities, such as spoofing attacks, and ways to mitigate them.
7. Do men or women exhibit a higher ridge density (number of ridges per unit area)? Please provide a detailed discussion of your findings and cite at least one reference to support your conclusion.
8. Validate the outcomes of Figure 2.18 from your textbook using the Poincare method. You must show all of your work!
9. Below are two fingerprint images –
a. Identify and mark all minutiae points (e.g., ridge endings, bifurcations, and other key features) on both fingerprint images. Use appropriate symbols or annotations to differentiate between different types of minutiae
b. Compare the minutiae points of the two fingerprints. Discuss whether they belong to the same individual based on the number, type, and location of matching minutiae points.
c. Explain the process of minutiae extraction and the criteria used to match minutiae in a typical fingerprint recognition system.