Feedback

X
Biometric Systems
0 Ungluers have Faved this Work
Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 54 times via unglue.it ebook links.
  1. 54 - pdf (CC BY) at Unglue.it.

Keywords

  • assessment
  • augmented signature
  • autism spectrum disorder (ASD)
  • automatic recognition
  • automatic signature verification
  • biomarker
  • Biometric Recognition
  • biometric recognition performance evaluation
  • biometric systems
  • Biometry
  • bit planes
  • block
  • bloodstream
  • body motion
  • contactless acquisition device
  • contactless dataset
  • cross-device
  • curve similarity
  • curve similarity model
  • curve similarity transformation
  • Data quality
  • deep learning
  • depth map ensemble
  • dorsal hand vein recognition
  • ear detection
  • ECG
  • enrollment phase
  • Evolutionary computation
  • Face
  • face detection
  • face recognition systems
  • face verification
  • filtering
  • finger features
  • finger vein recognition
  • fingerprint
  • function features
  • Gabor filter
  • Gaussian mixture model
  • geometric deep learning
  • hand vein recognition
  • Hausdorff distance
  • human identification
  • Identification
  • image classification
  • image covariates
  • image quality assessment
  • image recognition
  • infrared camera
  • Intervention
  • LGS
  • local coding
  • Lviv Biometric Dataset
  • Machine learning
  • mobile conditions
  • multi-biometrics
  • multimodal recognition
  • mutual information
  • non-contact devices
  • online signature verification
  • optical correlation
  • Oriented FAST and Rotated BRIEF (ORB)
  • pattern recognition
  • performance assessment
  • person identification
  • person re-identification
  • Physionet
  • presentation attack detection
  • public vascular pattern dataset
  • quality filtering
  • rotation equivariance
  • SC-DTW
  • Scale-Invariant Feature Transform (SIFT®)
  • security enhancement
  • segmentation matching
  • semantic segmentation
  • shape contexts
  • similarity distance
  • Speeded Up Robust Features (SURF®)
  • structured prediction
  • superpixel
  • superpixels
  • survey
  • Symbolic representation
  • Technology, engineering, agriculture
  • Technology: general issues
  • temporally aligned pooling
  • touch-screen sensor
  • two-stage method
  • vascular biometric recognition
  • visible light iris images
  • Voice
  • walking cycle
  • wrist vein recognition

Links

DOI: 10.3390/books978-3-0365-1129-0

Editions

edition cover

Share

Copy/paste this into your site: