Biometric Systems
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 iss...
Saved in:
| HerausgeberIn: | |
|---|---|
| Sonstige: | |
| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (352 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 05027nam-a2201429z--4500 | ||
|---|---|---|---|
| 001 | 993546359404498 | ||
| 005 | 20240621185000.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202201s2021 xx |||||o ||| 0|eng d | ||
| 035 | |a (CKB)5400000000045494 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/76714 | ||
| 035 | |a (EXLCZ)995400000000045494 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Nanni, Loris |4 edt | |
| 245 | 1 | 0 | |a Biometric Systems |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (352 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 506 | |a Open access |f Unrestricted online access |2 star | ||
| 520 | |a 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. | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a online signature verification | ||
| 653 | |a shape contexts | ||
| 653 | |a function features | ||
| 653 | |a SC-DTW | ||
| 653 | |a symbolic representation | ||
| 653 | |a two-stage method | ||
| 653 | |a finger features | ||
| 653 | |a multimodal recognition | ||
| 653 | |a local coding | ||
| 653 | |a Gabor filter | ||
| 653 | |a LGS | ||
| 653 | |a human identification | ||
| 653 | |a biomarker | ||
| 653 | |a ECG | ||
| 653 | |a machine learning | ||
| 653 | |a Physionet | ||
| 653 | |a Lviv Biometric Dataset | ||
| 653 | |a biometry | ||
| 653 | |a identification | ||
| 653 | |a bloodstream | ||
| 653 | |a image recognition | ||
| 653 | |a multi-biometrics | ||
| 653 | |a bit planes | ||
| 653 | |a block | ||
| 653 | |a mutual information | ||
| 653 | |a cross-device | ||
| 653 | |a dorsal hand vein recognition | ||
| 653 | |a person re-identification | ||
| 653 | |a superpixel | ||
| 653 | |a temporally aligned pooling | ||
| 653 | |a walking cycle | ||
| 653 | |a automatic recognition | ||
| 653 | |a face | ||
| 653 | |a voice | ||
| 653 | |a body motion | ||
| 653 | |a autism spectrum disorder (ASD) | ||
| 653 | |a assessment | ||
| 653 | |a intervention | ||
| 653 | |a curve similarity | ||
| 653 | |a curve similarity model | ||
| 653 | |a curve similarity transformation | ||
| 653 | |a similarity distance | ||
| 653 | |a segmentation matching | ||
| 653 | |a evolutionary computation | ||
| 653 | |a finger vein recognition | ||
| 653 | |a hand vein recognition | ||
| 653 | |a contactless acquisition device | ||
| 653 | |a public vascular pattern dataset | ||
| 653 | |a biometric recognition performance evaluation | ||
| 653 | |a face verification | ||
| 653 | |a optical correlation | ||
| 653 | |a Hausdorff distance | ||
| 653 | |a image classification | ||
| 653 | |a face detection | ||
| 653 | |a depth map ensemble | ||
| 653 | |a filtering | ||
| 653 | |a geometric deep learning | ||
| 653 | |a ear detection | ||
| 653 | |a structured prediction | ||
| 653 | |a semantic segmentation | ||
| 653 | |a rotation equivariance | ||
| 653 | |a Gaussian mixture model | ||
| 653 | |a superpixels | ||
| 653 | |a face recognition systems | ||
| 653 | |a person identification | ||
| 653 | |a biometric systems | ||
| 653 | |a survey | ||
| 653 | |a automatic signature verification | ||
| 653 | |a touch-screen sensor | ||
| 653 | |a data quality | ||
| 653 | |a enrollment phase | ||
| 653 | |a performance assessment | ||
| 653 | |a augmented signature | ||
| 653 | |a security enhancement | ||
| 653 | |a mobile conditions | ||
| 653 | |a biometric recognition | ||
| 653 | |a visible light iris images | ||
| 653 | |a image quality assessment | ||
| 653 | |a image covariates | ||
| 653 | |a quality filtering | ||
| 653 | |a vascular biometric recognition | ||
| 653 | |a wrist vein recognition | ||
| 653 | |a contactless dataset | ||
| 653 | |a pattern recognition | ||
| 653 | |a infrared camera | ||
| 653 | |a non-contact devices | ||
| 653 | |a Scale-Invariant Feature Transform (SIFT®) | ||
| 653 | |a Speeded Up Robust Features (SURF®) | ||
| 653 | |a Oriented FAST and Rotated BRIEF (ORB) | ||
| 653 | |a fingerprint | ||
| 653 | |a presentation attack detection | ||
| 653 | |a deep learning | ||
| 776 | |z 3-0365-1128-8 | ||
| 776 | |z 3-0365-1129-6 | ||
| 700 | 1 | |a Berlin Brahnam, Sheryl |4 edt | |
| 700 | 1 | |a Nanni, Loris |4 oth | |
| 700 | 1 | |a Berlin Brahnam, Sheryl |4 oth | |
| 906 | |a BOOK | ||
| ADM | |b 2024-06-22 04:30:52 Europe/Vienna |f system |c marc21 |a 2022-04-04 09:22:53 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338220380004498&Force_direct=true |Z 5338220380004498 |b Available |8 5338220380004498 | ||