Buch, Englisch, 375 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 744 g
ISBN: 978-981-950969-0
Verlag: Springer
This book offers a scholarly examination of innovative biometric recognition technologies, focusing on palmprint, finger-knuckle-print, palm-vein, dorsal-hand-vein, and multi-modal hand-based recognition systems. It is tailored for an academic and professional audience, including researchers, academics, and industry practitioners engaged in the field of biometrics, pattern recognition, and artificial intelligence.
The book's significance lies in its comprehensive analysis of state-of-the-art hand-based biometric recognition methods. It provides a systematic overview of various traits and recent technological advancements, offering readers insights into the practical applications and theoretical foundations of these emerging biometric modalities. The content encompasses detailed discussions on feature extraction, matching algorithms, and fusion techniques, highlighting their implications for enhancing authentication accuracy and security.
The primary benefits of this book include its thorough coverage of advanced hand-based biometric recognition, its presentation of the latest research findings, and its exploration of cross-disciplinary applications. It is intended to equip readers with an in-depth understanding of the current landscape and future prospects of hand-based biometrics. The book assumes that readers possess a foundational knowledge of pattern recognition and machine learning, which are prerequisites for grasping the presented concepts and methodologies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
"Chapter 1: Introduction".- "Chapter 2: Unrestricted Palmprint Analysis and Identification".- "Chapter 3: Multi-View Learning Strategies for Palmprint Analysis".- "Chapter 4: Robust Palmprint Recognition with Multi-view Structure Suture".- "Chapter 5: Discriminative Palm-vein Recognition with Double-Cohesion Learning".- "Chapter 6: Multi-View Low-Rank Approximation for Palm-vein Analysis".- "Chapter 7: Hyperspectral Hand-vein Image Analysis with Adaptive ROI Extraction".- "Chapter 8: Innovative Hyperspectral Hand-vein Recognition Systems".- "Chapter 9: Salient Feature Extraction for Dorsal Hand-vein Images".- "Chapter 10: Finger Knuckle Print Image Processing and Recognition".- "Chapter 11: Robust Finger Knuckle Print Image Analysis"- "Chapter 12: Efficient Recognition of Finger Knuckle Prints with Few-shot Learning".- "Chapter 13: Adaptive Feature Extraction for Finger-Vein Images".- "Chapter 14: Multi-View Learning for Finger-Vein Analysis".- "Chapter 15: Discriminative Analysis for Finger-Vein Feature Extraction".- "Chapter 16: Sparse Coding for Multimodal Hand Biometrics".- "Chapter 17: Discriminative Feature Extraction for Multimodal Finger Biometrics".- "Chapter 18: Hyperspectral Multimodal Biometric Systems with Deep Learning".- "Chapter-19: Book Review and Future Work".
