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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
Deep Learners and Deep Learner Descriptors for Medical Applications / / edited by Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain
Deep Learners and Deep Learner Descriptors for Medical Applications / / edited by Loris Nanni, Sheryl Brahnam, Rick Brattin, Stefano Ghidoni, Lakhmi C. Jain
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (286 pages)
Disciplina 610.28
Collana Intelligent Systems Reference Library
Soggetto topico Computational intelligence
Artificial intelligence
Health informatics
Biomedical engineering
Computational Intelligence
Artificial Intelligence
Health Informatics
Biomedical Engineering and Bioengineering
ISBN 3-030-42750-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483851403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Local Binary Patterns: New Variants and Applications / / edited by Sheryl Brahnam, Lakhmi C. Jain, Loris Nanni, Alessandra Lumini
Local Binary Patterns: New Variants and Applications / / edited by Sheryl Brahnam, Lakhmi C. Jain, Loris Nanni, Alessandra Lumini
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (X, 271 p. 93 illus., 5 illus. in color.)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Optical data processing
Computational Intelligence
Artificial Intelligence
Image Processing and Computer Vision
ISBN 3-642-39289-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to LBP: New Variants and New Applications by Sheryl Brahnam, Lakhmi C. Jain, Alessandra Lumini, Loris Nanni -- A Unifying Framework for LBP and Related Methods, Francesco Bianconi and Antonio Fernández -- Local Phase Quantization for Blur Insensitive Texture Description, Janne Heikkilä, Esa Rahtu, and Ville Ojansivu -- The Geometric Local Textural Patterns (GLTP) Technique, S. A. Orjuela Vargas, J. P. Yañez Puentes, and W. Philips -- Local Configuration Features and Discriminative Learnt Features for Texture Description, Yimo Guo, Guoying Zhao, and Matti Pietikäinen -- Heterogeneous Ensemble of Classifiers for Sub-Cellular Image Classification Based on Local Ternary Patterns, Loris Nanni, Michelangeo Paci, and Stefano Severi -- Fuzzy Local Binary Patterns, Stamos Katsigiannis, Eystratios Keramidas, Dimitris Maroulis -- Ensemble of Local Phase Quantization Variants with Ternary Encoding, Loris Nanni, Sheryl Brahnam, Alessandra Lumini, and Tonya Barrier -- State-of-the-Art LBP Descriptor for Face Recognition, Cho Ho Chan, Josef Kittler, and Norman Poh -- Thermal Face Recognition in Unconstrained Environments Using Histograms of LBP Features, Javier Ruiz-del-Solar, Rodrigo Verschae, Gabriel Hermosilla, and Mauricio Correa -- Histogram-Tensorial Gaussian Representations and its Applications to Facial Analysis, John A. Ruiz Hernandez, James L. Crowley, Augustin Lux, and Matti Pietikäinen.
Record Nr. UNINA-9910299725003321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
State of the art in Biometrics / / edited by Jucheng Yang and Loris Nanni
State of the art in Biometrics / / edited by Jucheng Yang and Loris Nanni
Pubbl/distr/stampa Croatia : , : IntechOpen, , 2011
Descrizione fisica 1 online resource (328 pages) : illustrations
Disciplina 006.4
Soggetto topico Biometric identification
ISBN 953-51-5566-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910137674303321
Croatia : , : IntechOpen, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui