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.
Topics in Privacy and Security
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
about vein patterns
○ infra red light
● Security and Accuracy
○ fast patterns matching
“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
likely major attacks
● fake physical and digital biometric input
○ identity theft
● false match
● decision override / false accept
● activity logging (time-stamping)
● encryptions and digital signatures
● multi-factor identification
● use of multiple biometrics
● hardware and template integrity
● system and database compromised
● interception (social engineering)
● false data injection
● override feature extraction
analysis of choice
○ unique, repeatable
○ practically immune from forgery
○ 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)
○ not mainstream
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
Other Authentication Methods
● Object Possession, e.g., Google Authenticator
● 2-factor authentication, combination of multiple methods
● 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).
● 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.