Muutke küpsiste eelistusi

E-raamat: Advanced Hand-based Biometrics

  • Formaat: PDF+DRM
  • Sari: Computer Science
  • Ilmumisaeg: 01-Jan-2026
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789819509706
  • Formaat - PDF+DRM
  • Hind: 221,68 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Sari: Computer Science
  • Ilmumisaeg: 01-Jan-2026
  • Kirjastus: Springer Verlag, Singapore
  • Keel: eng
  • ISBN-13: 9789819509706

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

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.
"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".