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 | ||
|
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 | ||
|