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 issuesChapter 1: Ageing and biometrics: an introductionChapter 2: Review of ageing with respect to biometrics and diverse modalitiesChapter 3: Biometrics and ageing: social and ethical considerationsChapter 4: Using age to enhance performance in biometricsSection 2: Modality-related approaches to management of age factorsChapter 5: Human face ageing: a perspective analysis from anthropometry and biometricsChapter 6: Ageing in biometrics: a case study in online signatureChapter 7: Ageing in iris biometricsChapter 8: Ageing effects in fingerprint biometricsChapter 9: The impact of ageing on speech-based biometric systemsChapter 10: An analysis of biometric performance change over time: a multimodal perspectiveSection 3: Applications and implications for practical applicationsChapter 11: An industrial perspective on biometric age factorsChapter 12: Fingerprints and human inspection: a forensics perspectiveChapter 13: Age prediction in face imagesChapter 14: Short- and long-time ageing effects in face recognitionSection 4: Future trends and research challengesChapter 15: Analysis of ageing effects in biometric systems: difficulties and limitationsChapter 16: Usable biometrics for an ageing populationChapter 17: Ageing effects and implications for biometric template protectionChapter 18: Future challenges for systems delivery using ageing tolerant biometrics