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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|