This is a student presentation given in the MBS MSc course Innovation and Knowledge Economy taught by Prof. Andrew for group assignment in 2009.

1. 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011
SEE THROUGH
BIOMETRICS
Prepared by Group 5
Winnie Cheung, Zeyu Zhao, Stefan Mihai Preoteasa,
Hsuan-Yi Wu2009 INNOVATION ANDCheng-Yu Huang
NOV. 26, 2009 (Jen), and KNOWLEDGE ECONOMY BMAN 61011 1

2. OUTLINE
 INTRODUCTION OF BIOMETRICS
BIOMETRICS / TECHNOLOGY SYSTEM / TYPES
 SOCIAL SHAPING OF BIOMETRICS
SCOT / ISSUES / PERFORMANCE
 ETHICS & SOCIAL CONSTRUCTION
ARGUMENTS / DISCUSSIONS / ACTOR NETWORK
 DIFFUSION, ADOPTION AND
CONSUMPTION
 CONCLUSION & THE FUTURE
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 2

3. WHAT IS BIOMETRICS?
“the automatic personal
recognition based on physiological
or behavioural characteristics”
Jain, A, et al. (1999)
 Properties
 Universal  Collectable
 Distinctive  Permanence
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 3

4. TECHNOLOGY SYSTEM
Enrolment
Template Stored on
Scan/Capture Database
Created
Database
Identification Verification
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5. TYPES
Physiological Behavioural
 Fingerprint  Iris  Gait
 Face  Retina  Speech
 Vascular Patterns  DNA  Signature
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 5

6. SCOT
 Interpretative flexibility
– Variation
– Selection
 Closure mechanisms
 Relevant Social groups
– Society
– Economy
– Organization
– Individual
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7. ISSUES
 Liveness testing-
Real person or some kind of simulation?
 Large-scale system-
Which bio-tech to use and by what
level?
 Biometric standards-
International, national or regional?
Hardware and software
 Testing and evaluation
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 7

8. PERFORMANCE
 Efficiency-
How much time biometric needs and how
much time it can save?
 Security-
compare to traditional technologies?
 Accuracy-
what kind of fault might happen and
faulty rate?
 Interoperability and cost
 Data maintenance-
usage, storage, update, transmission
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 8

9. ARGUMENTS
Arguments and counter-arguments
for biometrics:
 Technical limits
 Balkanization
 Cooperation
 Security
 The debate over privacy: psychological
comfort zone, self-esteem, the
objectification of the body, loss of
anonymity
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 9

10. ETHICS & SOCIAL CONSTRUCTION
• Function creep and interoperability:
– stored biometric data could be used for purposes that were not originally
foreseen, especially with the advances in system interoperability
– The temptation to function creep will grow along with the number of
companies and organizations that will have access to biometric information
– Strict separation of government and commercial databases needed
• Potential for extreme and covert surveillance through more
advanced technologies. Can lead to a feeling of discrimination
and lack of trust for the government among the citizenry.
• Limiting individual rights vs. the Common Good: is sliding too
far either way dangerous?
• The technology and it surrounding institutions need to be
transparent and trusted in order for biometrics to be adopted
and ethical.
• Conclusion: from the point of view of ethics, the social
construction of biometrics can be best described by the ANT
model
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 10

11. ACTOR NETWORK IN BIOMETRICS
Ethical
Governments
Concerns
Citizenry
Biometrics
Technology
Commercial
Companies
Industry
Standards Criminals/
Terrorists
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12. DIFFUSION & ADOPTION
From government to citizens,
from organization to consumers
 Government Sector
 Financial Sector
 Healthcare and Biotechnology Sector
 Travel & Immigration Sector
 Private Sector / Consumer Markets
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13. REVENUES OF BIOMETRICS
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14. USES OF BIOMETRICS
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15. CONCLUSION
 Biometrics as a technology………
(evolution point of view)
 What biometrics needs is greater
transparency and trust from the users
among the population.
 There is a large potential for biometrics in
consumer market.
 Future application and scenario will be
human-centric focusing on not only
security but also convenience, health,
satisfaction and interaction.
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 15

16. FUTURE SCENARIO
Biometrics will not only about itself.
It is about the combined and
integrated application in all sectors,
especially with IT.
- RFID
- Flexible Electronics
- Simulation
- Interactive Design
- …………………
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 16

17. FUTURE SCENARIO
NOV. 26, 2009 2009 INNOVATION AND KNOWLEDGE ECONOMY BMAN 61011 17

18. Thanks for your attention.
Questions are welcome!
SEE THROUGH
BIOMETRICS
Prepared by Group 5
Winnie Cheung, Zeyu Zhao, Stefan Mihai Preoteasa,
Hsuan-Yi Wu 2009 INNOVATION ANDCheng-Yu Huang
NOV. 26, 2009 (Jen), and KNOWLEDGE ECONOMY BMAN 61011 18