1. Automatic Fingerprint Identification System Purpose Fingerprinting Process Applications Cost Issues Future National ID Card

2. Purpose Verification Identification

3. Fingerprints Friction ridges Pattern Types Minutiae Uniqueness

4. Pattern Types

5. Minutiae

6. Fingerprint Matching Process

7. Map vs. Photograph Image Clarity

8. Fingerprint Matching Process Manual matching Automated matching Hybrid solution Limiting the search

9. Fingerprint Matching Process False Positives False Negatives Fraud vs. Denial of Service Two fingerprints

10. Applications Voter registration Driver’s licensing Welfare fraud prevention Check cashing ATM transactions

11. Applications McDonald’s HEB Supermarkets Citibank Nevada Casinos Levitz Furniture Kroger Supermarkets Notaries

12. Applications Texas California Florida Georgia

13. Cost Less costly than other biometric technologies Less invasive than other biometric technologies

14. Issues - Pro Decrease in false identifications Protect privacy Reduce identity theft

15. Issues - Con Intimidation of lower-income people Abuse of fingerprint database Texas law Not copy proof

16. Future More widespread use in on the way Government Health care Finance Schools May lead to more sophisticated technologies

17. National Id Cards Hong Kong Identity card with digital thumbprint Amount of information Malaysia Brunei United States