In practice, biometric template protection schemes require favourable conditions, i.e. low intra-class variability [36]. Biometric template ageing, which has been most studied in the context of face recognition, causes increased intra-class variability [24], i.e. requirements on template protection do not coincide with ageing effects. In this work implications of ageing effects on template protection are discussed for various types of technologies and possible countermeasures are proposed. In a case study on iris biometric fuzzy commitment schemes the effects of ageing are investigated over a time period of two years. Experimental studies confirm recent investigations on iris template ageing effects [11], observing a significant decrease in the performance of fuzzy commitment schemes.

Chapter Contents:

• 17.1 Introduction
• 17.2 Biometric template protection
• 17.2.1 Categorisation
• 17.2.2 The state-of-the-art
• 17.3 Age factors and template protection
• 17.3.1 Ageing effects on biometric template protection
• 17.3.2 Issues and challenges
• 17.4 Effects on iris biometric cryptosystems: a case study
• 17.4.1 Experimental setup
• 17.4.2 Iris recognition system
• 17.4.3 Iris fuzzy commitments
• 17.5 Discussion
• 17.6 Conclusion
• Acknowledgements
• References

Inspec keywords: face recognition; iris recognition; fuzzy set theory; ageing

Other keywords: ageing effects; face recognition; intra-class variability; biometric template protection schemes; iris biometric fuzzy commitment schemes

Subjects: Data security; Combinatorial mathematics; Combinatorial mathematics; Image recognition; Computer vision and image processing techniques