Biometric Systems

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Technology: general issues; 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; temporally aligned pooling; touch-screen sensor; two-stage method; vascular biometric recognition; visible light iris images; voice; walking cycle; wrist vein recognition
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (352 p.)
• ISBN: 9783036511283; 9783036511290; books978-3-0365-1129-0
• Access: Open Access

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.