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Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.

Biometric identification. --- Image processing. --- Signal processing. --- Biometric identification --- Electrical & Computer Engineering --- Biology --- Health & Biological Sciences --- Engineering & Applied Sciences --- Biology - General --- Electrical Engineering --- Processing, Signal --- Pictorial data processing --- Picture processing --- Processing, Image --- Biometric person authentication --- Biometrics (Identification) --- Computer science. --- Computer security. --- Pattern recognition. --- Biometrics (Biology). --- Computer Science. --- Biometrics. --- Pattern Recognition. --- Systems and Data Security. --- Information measurement --- Signal theory (Telecommunication) --- Imaging systems --- Optical data processing --- Anthropometry --- Identification --- Optical pattern recognition. --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Pattern perception --- Perceptrons --- Visual discrimination --- Protection --- Security measures --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods

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This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.

Biometric identification. --- Deepfakes. --- Image processing --- Morphing (Computer animation). --- Digital techniques. --- Biometric person authentication --- Biometrics (Identification) --- Anthropometry --- Identification --- Computer-generated metamorphosis --- Metamorphosing (Computer animation) --- Computer animation --- Digital image processing --- Digital electronics --- Deep fakes --- Deepfake AI --- Disinformation --- Forgery --- DeepFakes --- Face Manipulation Detection --- Media Forensic --- Biometric Recognition --- Image Processing and Pattern Recognition --- Open Access --- Identificació biomètrica --- Processament digital d'imatges --- Desinformació --- Morphing (Computer animation)

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