As biometrics-based identification and identity authentication become increasingly widespread in their deployment, it becomes correspondingly important to consider more carefully issues relating to reliability, usability and inclusion. One factor which is particularly important in this context is that of the relationship between the nature of the measurements extracted from a particular biometric modality and the age of the sample donor, and the effect which age has on physiological and behavioural characteristics invoked in a biometric transaction.
In Age Factors in Biometric Processing an international panel of experts explore the implications of ageing on biometric technologies, and how such factors can be managed in practical situations. Topics include understanding the impact of ageing on biometric measurements; age factors as barriers/opportunities in relation to performance; modality-related approaches to management of age factors; implications for practical application; and future trends and research challenges.
Age Factors in Biometric Processing provides an outstanding overview of this topic for the rapidly expanding community of stakeholders in biometrics based identification solutions in academia, industry and government.
Michael Fairhurst is Professor of Computer Vision in the School of Engineering and Digital Arts at the University of Kent, UK. He leads a research group with broad interests in the fundamental processes of image analysis and pattern recognition, and with a particular focus on applications in security and, especially, biometrics. He is a committee member of numerous conferences, workshops, networking and educational activities internationally, and has published widely in the research literature. He is a Fellow of the International Association for Pattern Recognition and is Editor-in-Chief of IET Biometrics.
Section 1: Introduction and basic issues Chapter 1: Ageing and biometrics: an introduction Chapter 2: Review of ageing with respect to biometrics and diverse modalities Chapter 3: Biometrics and ageing: social and ethical considerations Chapter 4: Using age to enhance performance in biometrics Section 2: Modality-related approaches to management of age factors Chapter 5: Human face ageing: a perspective analysis from anthropometry and biometrics Chapter 6: Ageing in biometrics: a case study in online signature Chapter 7: Ageing in iris biometrics Chapter 8: Ageing effects in fingerprint biometrics Chapter 9: The impact of ageing on speech-based biometric systems Chapter 10: An analysis of biometric performance change over time: a multimodal perspective Section 3: Applications and implications for practical applications Chapter 11: An industrial perspective on biometric age factors Chapter 12: Fingerprints and human inspection: a forensics perspective Chapter 13: Age prediction in face images Chapter 14: Short- and long-time ageing effects in face recognition Section 4: Future trends and research challenges Chapter 15: Analysis of ageing effects in biometric systems: difficulties and limitations Chapter 16: Usable biometrics for an ageing population Chapter 17: Ageing effects and implications for biometric template protection Chapter 18: Future challenges for systems delivery using ageing tolerant biometrics