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Biometrics - Vein Patterns

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.

Aleksandrs Cudars

January 21, 2015
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  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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