An industrial perspective on biometric age factors

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An industrial perspective on biometric age factors

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Author(s): Alastair Partington
Source: Age Factors in Biometric Processing,2013
Publication date October 2013

This chapter draws on the author's practical experience gained through delivering trial and production biometric systems to address a fundamental question - how is an understanding of biometric ageing relevant to the world of industry, which includes governmental use for immigration and identity management, and commerce? The following discussion and conclusions are therefore intended to help to set biometric ageing in an industrial context, and may be of interest to those engaged in the topic, regardless of their relative alignment to academia, industrial research and development, or commercial delivery. The paper approaches the topic of biometric ageing in the broadest sense, considering what impact it might have on today's industrial and commercial systems. Following this initial `sanity check', some of the key factors that might tend to exacerbate the impact of biometric ageing are considered and present an approach to identify those systems most exposed to this impact. Mitigation approaches that might serve to reduce the impact that biometric ageing presents, and how these might be put into practice, are considered.

Chapter Contents:

  • 11.1 Industrial implications of biometric ageing - a risk-based view
  • 11.2 Biometric ageing - does it matter?
  • 11.3 Industry: at the starting line for biometric ageing
  • 11.4 Factors exacerbating age-related biometric matching inaccuracies in industrial systems
  • 11.4.1 Primary factors
  • 11.4.2 Secondary factors
  • 11.5 A low-impact scenario: student identification
  • 11.5.1 Primary factors
  • 11.5.2 Secondary factors
  • 11.5.3 Risk assessment
  • 11.6 A moderate-impact scenario: ePassport gates
  • 11.6.1 Primary factors
  • 11.6.2 Secondary factors
  • 11.6.3 Risk assessment
  • 11.7 A high-impact scenario: anticipated use of India's Unique ID scheme 'Aadhaar'
  • 11.7.1 Primary factors
  • 11.7.2 Secondary factors
  • 11.7.3 Risk assessment
  • 11.8 Possible mitigations to age-related biometric matching inaccuracies in industrial systems
  • 11.8.1 Age impact minimisation by design
  • 11.8.2 Age-related change compensation
  • 11.9 Closing thoughts
  • References

Inspec keywords: authorisation; risk management; age issues; biometrics (access control)

Other keywords: biometric ageing; production biometric systems; biometric age factors; identity management; industrial research and development; commercial delivery; risk-based view; immigration; biometric matching accuracy; industrial perspective

Subjects: Economic, social and political aspects of computing; Social and political issues; Data security

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