Biometrics - Vein Patterns

Super short presentation on a type of Biometrics covering Vein Patterns as a means of personal identification and authorisation. Presentation was made for a module "Topics in Privacy and Security" at the University of York in January 2015.

1. VEIN PATTERNS Topics in Privacy and Security Biometrics 2015
2. about vein patterns • veins and arteries absorb more light, thus can be scanned • unique patterns • palms, fingers “a vein pattern exists on the skin surface between the roots of the five fingers and the wrist of the palm- dorsum. This pattern offers stable, unique and repeatable features for personal identification purposes”
3. about vein patterns • Method ◦ infra red light • Security and Accuracy ◦ high • Cost ◦ low • Speed ◦ fast patterns matching • Size ◦ small “it takes around 0.5s to match your vein patterns to those previously digitised, compressed and captured (...) there’s only a 0.0001% chance of someone passing off their vein patterns as yours
4. TASK 1
5. likely major attacks • fake physical and digital biometric input ◦ identity theft • false match • decision override / false accept
6. countermeasures • activity logging (time-stamping) • encryptions and digital signatures • multi-factor identification • use of multiple biometrics • hardware and template integrity
7. TASK 2
8. threats • system and database compromised • interception (social engineering) • false data injection • override feature extraction
9. analysis of choice • pros ◦ unique, repeatable ◦ practically immune from forgery ◦ non-invasive ◦ successful identification of dark-skinned subjects ◦ accurate and reliable ◦ ease of use - quick, discreet and clean ◦ systems already exist (low cost on installation and equipment) • cons ◦ not mainstream
10. alternatives Other Biometric Scans: • Fingerprint Scanners, e.g., Apple Touch ID • Visual Recognition: ◦ Eye Recognition (Retina and Iris), Ear Recognition, Whole Face Recognition • Other Recognition ◦ Olfactory (Odour) Recognition, Voice Recognition • DNA Matching • etc. Other Authentication Methods • Password • Object Possession, e.g., Google Authenticator • 2-factor authentication, combination of multiple methods
11. references • Wang, L., Leedham, G., & Siu-Yeung Cho, D. (2008). Minutiae feature analysis for infrared hand vein pattern biometrics. Pattern recognition, 41(3), 920-929. • Wang, L., & Leedham, G. (2005). A thermal hand vein pattern verification system. In Pattern Recognition and Image Analysis (pp. 58-65). Springer Berlin Heidelberg. • Im, S. K., Park, H. M., Kim, Y. W., Han, S. C., Kim, S. W., Kang, C. H., & Chung, C. K. (2001). An biometric identification system by extracting hand vein patterns. JOURNAL-KOREAN PHYSICAL SOCIETY, 38(3), 268-272. • Lin, C. L., & Fan, K. C. (2004). Biometric verification using thermal images of palm-dorsa vein patterns. Circuits and Systems for Video Technology, IEEE Transactions on, 14(2), 199-213. • Zhao, S., Wang, Y., & Wang, Y. (2007, August). Extracting hand vein patterns from low-quality images: a new biometric technique using low-cost devices. InImage and Graphics, 2007. ICIG 2007. Fourth International Conference on (pp. 667-671). IEEE. • Im, S. K., Park, H. M., Kim, S. W., Chung, C. K., & Choi, H. S. (2000, June). Improved vein pattern extracting algorithm and its implementation. In Consumer Electronics, 2000. ICCE. 2000 Digest of Technical Papers. International Conference on (pp. 2-3). IEEE. • Shahin, M., Badawi, A., & Kamel, M. (2007). Biometric authentication using fast correlation of near infrared hand vein patterns. International journal of Biomedical sciences, 2(3), 141-148. • Hashimoto, J. (2006, June). Finger vein authentication technology and its future. In VLSI Circuits, 2006. Digest of Technical Papers. 2006 Symposium on(pp. 5-8). IEEE.