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Biometric Systems
Biometric Systems
Autore Nanni Loris
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (352 p.)
Soggetto topico Technology: general issues
Soggetto non controllato online signature verification
shape contexts
function features
SC-DTW
symbolic representation
two-stage method
finger features
multimodal recognition
local coding
Gabor filter
LGS
human identification
biomarker
ECG
machine learning
Physionet
Lviv Biometric Dataset
biometry
identification
bloodstream
image recognition
multi-biometrics
bit planes
block
mutual information
cross-device
dorsal hand vein recognition
person re-identification
superpixel
temporally aligned pooling
walking cycle
automatic recognition
face
voice
body motion
autism spectrum disorder (ASD)
assessment
intervention
curve similarity
curve similarity model
curve similarity transformation
similarity distance
segmentation matching
evolutionary computation
finger vein recognition
hand vein recognition
contactless acquisition device
public vascular pattern dataset
biometric recognition performance evaluation
face verification
optical correlation
Hausdorff distance
image classification
face detection
depth map ensemble
filtering
geometric deep learning
ear detection
structured prediction
semantic segmentation
rotation equivariance
Gaussian mixture model
superpixels
face recognition systems
person identification
biometric systems
survey
automatic signature verification
touch-screen sensor
data quality
enrollment phase
performance assessment
augmented signature
security enhancement
mobile conditions
biometric recognition
visible light iris images
image quality assessment
image covariates
quality filtering
vascular biometric recognition
wrist vein recognition
contactless dataset
pattern recognition
infrared camera
non-contact devices
Scale-Invariant Feature Transform (SIFT®)
Speeded Up Robust Features (SURF®)
Oriented FAST and Rotated BRIEF (ORB)
fingerprint
presentation attack detection
deep learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557789403321
Nanni Loris  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sphagnum-Dwelling Testate Amoebae in Bulgaria
Sphagnum-Dwelling Testate Amoebae in Bulgaria
Autore Milcho Todorov
Pubbl/distr/stampa Pensoft Publishers, 2019
Descrizione fisica 1 electronic resource (287 p.)
Soggetto non controllato biometry
palaeoecology and environmental monitoring
ecology
hydrobiology
Sphagnum-dwelling testate amoebae
ultramorphology
Bulgaria
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404247503321
Milcho Todorov  
Pensoft Publishers, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui