Khalifa othman (32 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - Visionary leaders are exceptional people who look beyond the here and now, foresee potential obstacles and opportunities, and steer their companies into an uncertain but bright future. These leaders take initiative, bringing big ideas to life and motivating others to do the same. What, however, makes visionary leaders effective What qualities, dispositions, and approaches allow them to foster creativity, manage ambiguity, and make a significant impact.…

Taschenbuch. Zustand: Neu. Neuware.

Zustand: NEW.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Facial recognition has evolved from a niche computer vision curiosity into a cornerstone of digital identity, public safety, and modern commerce. From instantaneously unlocking our smartphones to aiding complex criminal investigations, this technology is now deeply woven into the fabric of our daily lives.This book is an authoritative, holistic resource designed to fill the void in current literature. It equips readers with both the fundamental theoretical principles and the pragmatic wisdom required to design, deploy, and critically evaluate modern face biometric systems.Meticulously organized into 15 interconnected chapters, this comprehensive volume guides you systematically from foundational concepts to the cutting edge of artificial intelligence.Inside, you will explore: - Foundational Concepts & Image Processing: The historical evolution of biometrics, the human anatomy of facial uniqueness, and essential pipelines for image acquisition and normalization.- The Algorithmic Core: A deep dive into face detection, feature extraction, and recognition algorithms-from pioneering classical methods (like Eigenfaces) to the latest Deep Convolutional Neural Networks and Vision Transformers.- Advanced Technologies & Security: 3D facial recognition, template protection, and presentation attack detection to secure systems against spoofing.- Ethics, Bias, & Privacy: A critical, balanced look at demographic biases, fairness, transparency, societal risks, and the regulatory frameworks governing biometric deployments.- Real-World Applications: Operational realities in law enforcement, healthcare, banking, retail, and smart cities, including how to overcome persistent challenges like illumination, pose, and aging variations.- Future Frontiers: A forward-looking analysis of multimodal systems, edge AI, federated learning, quantum computing, and concrete case studies from large-scale implementations.Whether you are a student, researcher, developer, or policymaker, this book goes beyond technical mastery. It is written to inspire a spirit of responsible innovation, ensuring that the advancement of face biometrics serves the broader goals of security, equity, and human dignity.Get your copy today and master the technology shaping the future of human-computer interaction.…

Taschenbuch. Zustand: Neu. Neuware - Palmprint Biometrics for Personal Identification: From Fundamentals to Intelligent Recognition Systems offers a comprehensive and contemporary examination of palmprint recognition, positioning it as a mature technology ready for widespread deployment in the era of intelligent systems. The book is structured to serve a diverse audience, from newcomers to experts, by providing a step-by-step journey from foundational concepts to cutting-edge algorithms and real-world applications.The text begins by establishing the essential groundwork, covering the anatomy of the palm and the history of biometrics, followed by a detailed analysis of acquisition devices and the public databases that have fueled research progress. It then systematically builds a classical foundation through chapters dedicated to preprocessing, feature extraction, and matching techniques, critically evaluating the merits of established methods like line-based and texture-based features in various operational scenarios.The core of the book's technical contribution lies in its deep dive into the transformative role of deep learning. Rather than treating these methods as opaque 'black boxes,' the authors provide a transparent and comprehensive explanation of advanced architectures-including convolutional networks, residual networks, Vision Transformers, and contrastive learning-specifically tailored for palmprint recognition.Moving beyond algorithms, the latter half of the book addresses the critical challenges and future possibilities of the field. It tackles essential issues of security, privacy, and vulnerability to presentation attacks (spoofing). It then expands the scope from single-modal systems to a holistic, multimodal, systems-level perspective, reflecting the reality of complex real-world deployments. The book concludes with practical insights, presenting detailed case studies from diverse sectors such as border management, mobile authentication, healthcare, and finance, and looks forward to emerging developments like on-device AI, privacy-preserving federated learning, and the use of generative models for synthetic data creation.…

Taschenbuch. Zustand: Neu. Neuware - This book explores the use of the human retina for biometric authentication, highlighting its unique and stable characteristics. It argues that recent technological advances-affordable high-resolution sensors, increased computing power, and AI-have finally made widespread retina recognition practical. However, it acknowledges significant challenges, including image acquisition, robust feature extraction, and ensuring system fairness, security, and privacy.The book is intended for a broad audience, from students to professionals, and is structured to guide readers from foundational principles (anatomy, physics) through classical algorithms and modern deep learning techniques. It dedicates substantial focus to practical system building, security, and privacy, while also exploring multimodal integration and real-world applications. The work concludes with a forward-looking vision for next-generation retina recognition systems.…

Taschenbuch. Zustand: Neu. Neuware - Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition by Othman Omran Khalifa provides a comprehensive, end-to-end guide to one of the most secure and reliable biometric authentication technologies. The book systematically covers the entire pipeline-from the physics of near-infrared imaging and sensor design, through image preprocessing, feature extraction, and classical machine learning, to the latest advances in deep learning, including CNNs and Vision Transformers. It also addresses critical issues of security, privacy, and template protection, explores multimodal fusion strategies, and examines real-world applications in banking, healthcare, and access control. Concluding with emerging trends such as federated learning, edge-AI, and synthetic data generation, the book offers a practical blueprint for designing intelligent, deployable finger vein recognition systems. Ideal for researchers, engineers, and security professionals, this work bridges theory and practice in the rapidly evolving field of AI-powered identity authentication.…

Taschenbuch. Zustand: Neu. Neuware - This book was born from the gap between the old tradition of handwritten signatures and the new reality of digital identity. We are living through a strange time-AI makes forgeries easier than ever, but also gives us the best tools to detect them. The book argues we should not abandon the signature. We should make it smarter by embedding it with deep learning and explainable AI.The book moves step by step. Early chapters cover the basics: what makes a signature biometric, how signatures are captured and processed, and the classical methods that once defined the field. Then the book shifts into machine learning, deep learning, Siamese networks, and Transformers-the technologies that have revolutionized verification. Later chapters tackle forgery, adversarial attacks, and real-world deployment in banking, government, and border control. The final chapters look to the future: combining signatures with other biometrics, building explainable systems, and designing adaptive architectures that can learn and evolve.The book is meant for graduate students, industry practitioners, and policymakers. It draws on decades of research and the authors are grateful to the community that made this work possible. They hope readers will come to see the handwritten signature not as a relic, but as a human signal that-when paired with intelligent algorithms-can be strengthened and preserved for the security challenges ahead.…