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9.9 MB
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4BF939BE800DDD92AFADB08D30AEE20000CE9451
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July 23, 2025, 11:58 a.m.
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(Last updated: July 23, 2025, 12:01 p.m.)
| File | Size |
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| Liebana-Cabanillas F. Biometrics. Challenges, Trends and Opportunities 2026.pdf | 9.9 MB |
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SOURCE: Liebana-Cabanillas F. Biometrics. Challenges, Trends and Opportunities 2026
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COVER
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MEDIAINFO
Textbook in PDF format 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. Preface Introduction Fundamentals and Applications of Biometrics Emerging Technologies in Biometrics: Artificial Intelligence and Machine Learning Biometrics as a Key Factor for Emergent User Experience Evaluation Application and Development of Emotional and Attentional Tools: A Face Reading, Eye Tracking, and Electrodermal Activity Approach Biometric Authentication Systems in Banking: Improving Security and Customer Experience while Fighting Cybercrime Exploring the Integration of Biometric Technologies in the Macedonian Banking Sector: A Qualitative Study Challenges, Comparisons, and the Future of Biometrics Knowledge and Perception of Biometric Payments by the Polish Public Fingerprint vs. Voice Integration of Blockchain and Biometrics: Applications, Benefits, and Challenges in Key Sectors
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