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.

Transcript

1. VEIN PATTERNS
   Topics in Privacy and Security
   Biometrics
   2015
   

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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”
   

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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
   

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4. TASK 1
   

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5. likely major attacks
   ● fake physical and digital biometric input
   ○ identity theft
   ● false match
   ● decision override / false accept
   

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6. countermeasures
   ● activity logging (time-stamping)
   ● encryptions and digital signatures
   ● multi-factor identification
   ● use of multiple biometrics
   ● hardware and template integrity
   

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7. TASK 2
   

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8. threats
   ● system and database compromised
   ● interception (social engineering)
   ● false data injection
   ● override feature extraction
   

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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
   

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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
    

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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.
    

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