 Название: Biometrics: Challenges, Trends and Opportunities
Автор: Francisco Liébana-Cabanillas, Francisco Muñoz-Leiva, Juan F. Prados-Castillo, Elena Higueras-Castillo
Издательство: CRC Press
Год: 2026
Страниц: 205
Язык: английский
Формат: pdf (true), epub
Размер: 18.6 MB
The book provides a comprehensive overview of biometrics, including its theoretical foundations and practical applications, and offers valuable insights into its relevance and impact on various sectors of society. It provides readers with a comprehensive view of how biometrics can shape future solutions that are secure, user focused, and technologically advanced. The first part discusses the fundamentals and applications of biometric technology. The second part discusses the challenges and future of biometric technologies. Companies are embracing biometrics as an additional layer of security and convenience for their customers, providing an enhanced user experience and reducing the risk of fraud. This book provides an overview of biometrics including its theoretical foundations and practical applications and offers insights into its impact on society.
Biometric systems have evolved from simple fingerprinting to the sophisticated Artificial Intelligent (AI) integrated systems. Biometric identifications began with the manual matching of simple and static features like fingerprints and facial traits. These pioneering and innovative biometrics systems were inaccurate and thus had limited applicability. The advancements in technology have led to development in complexity and capabilities of biometric systems with the inclusion of several forms of identity verification, namely, iris scanning and voice recognition.
Identity verification is a dynamic process of learning and adapting to subtle and unique characteristics of individuals in fingerprints and facial features. Emerging technologies like AI and ML in biometrics have made it possible. Biometric systems have been fundamentally transformed by these technologies that allow biometrics to process vast amounts of data, identify complex patterns, and improve their accuracy over time. There is an appalling need for secure and efficient authentication methods in the age of digital financial transactions and hence, AI-driven biometrics have evolved as a key solution.
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