top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
... IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)
... IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)
Pubbl/distr/stampa [Piscataway, NJ] : , : [IEEE]
Disciplina 006.248
Soggetto topico Biometric identification
Data encryption (Computer science)
Pattern recognition systems
Soggetto genere / forma Conference papers and proceedings.
ISSN 2640-0790
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Identity, Security and Behavior Analysis (ISBA), ... IEEE International Conference on
ISBA
Record Nr. UNINA-9910626129303321
[Piscataway, NJ] : , : [IEEE]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
... IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)
... IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)
Pubbl/distr/stampa [Piscataway, NJ] : , : [IEEE]
Disciplina 006.248
Soggetto topico Biometric identification
Data encryption (Computer science)
Pattern recognition systems
Soggetto genere / forma Conference papers and proceedings.
ISSN 2640-0790
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Identity, Security and Behavior Analysis (ISBA), ... IEEE International Conference on
ISBA
Record Nr. UNISA-996581543103316
[Piscataway, NJ] : , : [IEEE]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
2008 Biometrics Symposium
2008 Biometrics Symposium
Pubbl/distr/stampa [Place of publication not identified], : I E E E, 2008
Descrizione fisica 1 online resource (88 pages) : illustrations
Disciplina 006.248
Soggetto topico Biometric identification
Human face recognition (Computer science)
ISBN 1-5090-7892-4
1-4244-2567-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996204846403316
[Place of publication not identified], : I E E E, 2008
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
2008 Biometrics Symposium
2008 Biometrics Symposium
Pubbl/distr/stampa [Place of publication not identified], : I E E E, 2008
Descrizione fisica 1 online resource (88 pages) : illustrations
Disciplina 006.248
Soggetto topico Biometric identification
Human face recognition (Computer science)
ISBN 9781509078929
1509078924
9781424425679
1424425670
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910145370303321
[Place of publication not identified], : I E E E, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
2014 International Conference of the Biometrics Special Interest Group (BIOSIG) : 10-12 September 2014 in Darmstadt, Germany / / Arslan Brömme, Christoph Busch (Eds.) ; IEEE
2014 International Conference of the Biometrics Special Interest Group (BIOSIG) : 10-12 September 2014 in Darmstadt, Germany / / Arslan Brömme, Christoph Busch (Eds.) ; IEEE
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014
Descrizione fisica 1 online resource (216 pages)
Disciplina 006.248
Collana Lecture Notes in Informatics. Proceedings
Soggetto topico Biometric identification
Biometry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910139969903321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
2014 International Conference of the Biometrics Special Interest Group (BIOSIG) : 10-12 September 2014 in Darmstadt, Germany / / Arslan Brömme, Christoph Busch (Eds.) ; IEEE
2014 International Conference of the Biometrics Special Interest Group (BIOSIG) : 10-12 September 2014 in Darmstadt, Germany / / Arslan Brömme, Christoph Busch (Eds.) ; IEEE
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014
Descrizione fisica 1 online resource (216 pages)
Disciplina 006.248
Collana Lecture Notes in Informatics. Proceedings
Soggetto topico Biometric identification
Biometry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996278333203316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced methods for human biometrics / / edited by Nabil Derbel and Olfa Kanoun
Advanced methods for human biometrics / / edited by Nabil Derbel and Olfa Kanoun
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (305 pages)
Disciplina 006.248
Collana Smart Sensors, Measurement and Instrumentation
Soggetto topico Biometric identification
ISBN 3-030-81982-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Authentication Based on Measurements of Human Characteristics -- 1 Efficient Fingerprint Analysis Based on Sweat Pore Map -- 1.1 Introduction -- 1.2 Related Works -- 1.3 Proposed Approach -- 1.3.1 Step 1: Pores Detection -- 1.3.2 Step 2: Features Extraction -- 1.3.3 Step 3: Pores Alignment -- 1.3.4 Step 4: Pores Matching -- 1.4 Experiments and Performance Evaluation -- 1.4.1 Data Base -- 1.4.2 Training and Test Process -- 1.4.3 Feature Matching -- 1.4.4 Performance Evaluation -- 1.5 Conclusion -- References -- 2 Fingerprint Recognition Based on Level Three Features -- 2.1 Introduction -- 2.2 Biometry Background -- 2.2.1 Biometric Systems -- 2.2.2 Biology of the Fingerprint -- 2.3 Pores Detection -- 2.3.1 Related Works -- 2.3.2 Proposed Method -- 2.4 Pores Matching -- 2.4.1 Related Works -- 2.4.2 Proposed Method -- 2.5 Experimental Results -- 2.5.1 Database -- 2.5.2 Pores Detection -- 2.5.3 Recognition -- 2.6 Conclusion -- References -- 3 Fractal Analysis for Iris Multimodal Biometry -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Feature Extraction Based on Fractal Analysis -- 3.4 Uni-Modal Recognition System -- 3.4.1 PBMLTiris Database Description -- 3.4.2 Pre-processing -- 3.4.3 Iris Segmentation (Daugman's Operator) -- 3.4.4 Normalization Based on the Pseudo-Polar Method (Masšek, ch3AmenispsbibspsMaek2003RecognitionOH) -- 3.4.5 Matching -- 3.5 Multi-modal Recognition System -- 3.5.1 Limitations of Uni-Modal Recognition System (Singh et al., ch3Amenispsbibspssingh2019comprehensive) -- 3.5.2 Fusion Sources -- 3.5.3 Fusion Levels -- 3.6 Experimental Results -- 3.6.1 Segmentation Results -- 3.6.2 Uni-Modal System Evaluation -- 3.6.3 Feature Level Fusion Results -- 3.6.4 Sensor Level Fusion Results -- 3.6.5 Score Level Fusion Results -- 3.7 Discussion and Conclusion -- References.
Part II Authentication by Biological Signals -- 4 Security with ECG Biometrics -- 4.1 Biometrics Definition -- 4.2 Biometrics with ECG -- 4.3 ECG Biometrics Approaches -- 4.3.1 Fiducial Approaches -- 4.3.2 Non-fiducial Approaches -- 4.4 ECG Signal Filters -- 4.5 ECG Biometric Classifiers -- 4.6 Evaluation of ECG Biometrics -- 4.7 Conclusion -- References -- 5 ECG Biometric System for Human Recognition Based on the Possibility Theory -- 5.1 Introduction -- 5.2 Possibility Theory -- 5.2.1 Possibility Distribution -- 5.2.2 Transformation from Probability Distribution to Possibility Distribution -- 5.3 Methodology -- 5.3.1 ECG Signal Pre-processing -- 5.3.2 Feature Extraction -- 5.3.3 Possibility Theory Based ECG Classification -- 5.3.4 Experimental Results and Discussion -- 5.4 Conclusion -- References -- 6 Surface EMG Based Biometric Person Authentication by a Grasshopper Optimized SVM Algorithm -- 6.1 Introduction -- 6.2 Biometry Based on sEMG Signals -- 6.3 Hybrid Grasshopper Optimization Algorithm and Support Vector Machine (GOA-SVM) -- 6.3.1 Grasshopper Optimization Algorithm (GOA) -- 6.3.2 GOA-SVM -- 6.4 Experimental Results -- 6.5 Conclusion -- References -- Part III Algorithm Based Methods of Multimodal Authentication -- 7 Tracklet and Signature Representation Using Part Appearance Mixture Approach in the Context of Multi-shot Person Re-Identification -- 7.1 Introduction -- 7.2 Main Challenges of Person Re-ID -- 7.3 Related Works -- 7.4 Person Re-ID Process -- 7.4.1 Detection -- 7.4.2 Multi-object Tracking -- 7.5 Part Appearance Mixture (PAM) Approach -- 7.5.1 Signature Representation -- 7.5.2 Similarity Metric for Signature Representation -- 7.5.3 Distance Computation Between Signatures -- 7.6 Experiments and Results -- 7.6.1 Datasets -- 7.6.2 Performance Evaluation -- 7.6.3 Evaluation of Signature Representation Quality -- 7.7 Conclusion.
References -- 8 A Novel Approach for Speaker Recognition in Degraded Conditions -- 8.1 Introduction -- 8.2 Related Works -- 8.3 Proposed Approach -- 8.3.1 Pre-processing -- 8.3.2 Feature Extraction -- 8.3.3 Classification -- 8.4 Experimental Results -- 8.5 Conclusion -- References -- 9 Visual Methods for Sign Language Recognition: A Modality-Based Review -- 9.1 Introduction -- 9.2 Human Actions Recognition Pipeline -- 9.3 Unimodal Methods -- 9.3.1 Recognition from Joint Streams -- 9.3.2 Recognition from RGB Streams -- 9.3.3 Recognition from Depth Streams -- 9.3.4 Unimodal Temporal Segmentation Approaches -- 9.4 Multi-modal Methods -- 9.4.1 Multi-modal Datasets for HAR -- 9.4.2 Multi-modal Fusion Approaches -- 9.4.3 Multi-modal Datasets for 3D FEs Recognition -- 9.4.4 Multi-modal Approaches for 3D FEs Recognition -- 9.5 Main Contributions Related to SL Recognition -- 9.5.1 SL Datasets -- 9.5.2 SL Visual-Recognition Based Works -- 9.6 Conclusion and Discussion -- 9.6.1 Datasets Level -- 9.6.2 Approaches Level -- 9.6.3 Commercial Solutions Level -- References -- 10 A Software Architecture for Developing Disease Registries -- 10.1 Introduction -- 10.2 Related Work -- 10.2.1 Technology -- 10.2.2 Data -- 10.2.3 Knowledge -- 10.2.4 Analytics -- 10.2.5 Services -- 10.2.6 Security -- 10.2.7 Sharing -- 10.3 Proposed Software Architecture -- 10.3.1 Technology Layer -- 10.3.2 Data Layer -- 10.3.3 Knowledge Layer -- 10.3.4 Analytics Layer -- 10.3.5 Service Layer -- 10.3.6 Security and Privacy -- 10.3.7 Sharing -- 10.3.8 Interactions -- 10.4 Use Cases -- 10.5 Conclusion -- References -- Part IV Biomedical Characteritics -- 11 3D Textures Analysis Based on Features Extraction -- 11.1 Introduction -- 11.2 Methods of Texture Measures -- 11.2.1 Decimal Descriptor Patterns (DDP) -- 11.2.2 Local Binary Patterns -- 11.2.3 Grey Level Co-occurrence Matrix Method.
11.3 Experiments and Results -- 11.3.1 Databases -- 11.3.2 Phases of Simulation -- 11.3.3 3D MR Brain Images Analysis -- 11.3.4 3D Face Analysis -- 11.3.5 Discussion -- 11.4 Conclusion -- References -- 12 Image Processing and Analysis for Decision Making Applied to Melanoma -- 12.1 Introduction -- 12.2 About Melanoma -- 12.3 Diagnostic Aid System Based on Score Computation -- 12.3.1 Images Acquisition -- 12.3.2 Images Pretreatment -- 12.3.3 Lesion Detection -- 12.3.4 Interpretation of Medical Images -- 12.4 Diagnostic Aid System Based on Machine Learning -- 12.4.1 Images Acquisition -- 12.4.2 Pretreatment of Dermatoscopic Images -- 12.4.3 Segmentation of Lesion Based on Region Growing Method -- 12.4.4 Skin Lesion Analysis -- 12.5 Experimental Results and Discussion -- 12.5.1 Approach Based on the MultiOtsu Principle -- 12.5.2 Approach Based on the Region Growing Method -- 12.5.3 Evaluation and Discussion -- 12.6 Conclusion -- References -- 13 Biomedical Computer Aided Design Systems: Application to Alzheimer Disease -- 13.1 Introduction -- 13.2 Proposed Methodology -- 13.3 Previous Works -- 13.3.1 Partial Least Square (PLS) -- 13.3.2 Kernel Partial Least Square (KPLS) -- 13.4 Proposed Downsized KPLS Method (DPLS) -- 13.5 Optimization with Multi-objective Optimization Algorithm -- 13.5.1 Principle -- 13.5.2 Selection of Kernel Parameter with Multi-Objective Optimization Algorithm -- 13.6 Classification Using Neural Networks -- 13.7 Experiments -- 13.7.1 Experiments on ADNI Dataset -- 13.7.2 Experiments on OASIS Dataset -- 13.8 Conclusion and Future Work -- References.
Record Nr. UNINA-9910502619903321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced methods for human biometrics / / edited by Nabil Derbel and Olfa Kanoun
Advanced methods for human biometrics / / edited by Nabil Derbel and Olfa Kanoun
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (305 pages)
Disciplina 006.248
Collana Smart Sensors, Measurement and Instrumentation
Soggetto topico Biometric identification
ISBN 3-030-81982-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Authentication Based on Measurements of Human Characteristics -- 1 Efficient Fingerprint Analysis Based on Sweat Pore Map -- 1.1 Introduction -- 1.2 Related Works -- 1.3 Proposed Approach -- 1.3.1 Step 1: Pores Detection -- 1.3.2 Step 2: Features Extraction -- 1.3.3 Step 3: Pores Alignment -- 1.3.4 Step 4: Pores Matching -- 1.4 Experiments and Performance Evaluation -- 1.4.1 Data Base -- 1.4.2 Training and Test Process -- 1.4.3 Feature Matching -- 1.4.4 Performance Evaluation -- 1.5 Conclusion -- References -- 2 Fingerprint Recognition Based on Level Three Features -- 2.1 Introduction -- 2.2 Biometry Background -- 2.2.1 Biometric Systems -- 2.2.2 Biology of the Fingerprint -- 2.3 Pores Detection -- 2.3.1 Related Works -- 2.3.2 Proposed Method -- 2.4 Pores Matching -- 2.4.1 Related Works -- 2.4.2 Proposed Method -- 2.5 Experimental Results -- 2.5.1 Database -- 2.5.2 Pores Detection -- 2.5.3 Recognition -- 2.6 Conclusion -- References -- 3 Fractal Analysis for Iris Multimodal Biometry -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Feature Extraction Based on Fractal Analysis -- 3.4 Uni-Modal Recognition System -- 3.4.1 PBMLTiris Database Description -- 3.4.2 Pre-processing -- 3.4.3 Iris Segmentation (Daugman's Operator) -- 3.4.4 Normalization Based on the Pseudo-Polar Method (Masšek, ch3AmenispsbibspsMaek2003RecognitionOH) -- 3.4.5 Matching -- 3.5 Multi-modal Recognition System -- 3.5.1 Limitations of Uni-Modal Recognition System (Singh et al., ch3Amenispsbibspssingh2019comprehensive) -- 3.5.2 Fusion Sources -- 3.5.3 Fusion Levels -- 3.6 Experimental Results -- 3.6.1 Segmentation Results -- 3.6.2 Uni-Modal System Evaluation -- 3.6.3 Feature Level Fusion Results -- 3.6.4 Sensor Level Fusion Results -- 3.6.5 Score Level Fusion Results -- 3.7 Discussion and Conclusion -- References.
Part II Authentication by Biological Signals -- 4 Security with ECG Biometrics -- 4.1 Biometrics Definition -- 4.2 Biometrics with ECG -- 4.3 ECG Biometrics Approaches -- 4.3.1 Fiducial Approaches -- 4.3.2 Non-fiducial Approaches -- 4.4 ECG Signal Filters -- 4.5 ECG Biometric Classifiers -- 4.6 Evaluation of ECG Biometrics -- 4.7 Conclusion -- References -- 5 ECG Biometric System for Human Recognition Based on the Possibility Theory -- 5.1 Introduction -- 5.2 Possibility Theory -- 5.2.1 Possibility Distribution -- 5.2.2 Transformation from Probability Distribution to Possibility Distribution -- 5.3 Methodology -- 5.3.1 ECG Signal Pre-processing -- 5.3.2 Feature Extraction -- 5.3.3 Possibility Theory Based ECG Classification -- 5.3.4 Experimental Results and Discussion -- 5.4 Conclusion -- References -- 6 Surface EMG Based Biometric Person Authentication by a Grasshopper Optimized SVM Algorithm -- 6.1 Introduction -- 6.2 Biometry Based on sEMG Signals -- 6.3 Hybrid Grasshopper Optimization Algorithm and Support Vector Machine (GOA-SVM) -- 6.3.1 Grasshopper Optimization Algorithm (GOA) -- 6.3.2 GOA-SVM -- 6.4 Experimental Results -- 6.5 Conclusion -- References -- Part III Algorithm Based Methods of Multimodal Authentication -- 7 Tracklet and Signature Representation Using Part Appearance Mixture Approach in the Context of Multi-shot Person Re-Identification -- 7.1 Introduction -- 7.2 Main Challenges of Person Re-ID -- 7.3 Related Works -- 7.4 Person Re-ID Process -- 7.4.1 Detection -- 7.4.2 Multi-object Tracking -- 7.5 Part Appearance Mixture (PAM) Approach -- 7.5.1 Signature Representation -- 7.5.2 Similarity Metric for Signature Representation -- 7.5.3 Distance Computation Between Signatures -- 7.6 Experiments and Results -- 7.6.1 Datasets -- 7.6.2 Performance Evaluation -- 7.6.3 Evaluation of Signature Representation Quality -- 7.7 Conclusion.
References -- 8 A Novel Approach for Speaker Recognition in Degraded Conditions -- 8.1 Introduction -- 8.2 Related Works -- 8.3 Proposed Approach -- 8.3.1 Pre-processing -- 8.3.2 Feature Extraction -- 8.3.3 Classification -- 8.4 Experimental Results -- 8.5 Conclusion -- References -- 9 Visual Methods for Sign Language Recognition: A Modality-Based Review -- 9.1 Introduction -- 9.2 Human Actions Recognition Pipeline -- 9.3 Unimodal Methods -- 9.3.1 Recognition from Joint Streams -- 9.3.2 Recognition from RGB Streams -- 9.3.3 Recognition from Depth Streams -- 9.3.4 Unimodal Temporal Segmentation Approaches -- 9.4 Multi-modal Methods -- 9.4.1 Multi-modal Datasets for HAR -- 9.4.2 Multi-modal Fusion Approaches -- 9.4.3 Multi-modal Datasets for 3D FEs Recognition -- 9.4.4 Multi-modal Approaches for 3D FEs Recognition -- 9.5 Main Contributions Related to SL Recognition -- 9.5.1 SL Datasets -- 9.5.2 SL Visual-Recognition Based Works -- 9.6 Conclusion and Discussion -- 9.6.1 Datasets Level -- 9.6.2 Approaches Level -- 9.6.3 Commercial Solutions Level -- References -- 10 A Software Architecture for Developing Disease Registries -- 10.1 Introduction -- 10.2 Related Work -- 10.2.1 Technology -- 10.2.2 Data -- 10.2.3 Knowledge -- 10.2.4 Analytics -- 10.2.5 Services -- 10.2.6 Security -- 10.2.7 Sharing -- 10.3 Proposed Software Architecture -- 10.3.1 Technology Layer -- 10.3.2 Data Layer -- 10.3.3 Knowledge Layer -- 10.3.4 Analytics Layer -- 10.3.5 Service Layer -- 10.3.6 Security and Privacy -- 10.3.7 Sharing -- 10.3.8 Interactions -- 10.4 Use Cases -- 10.5 Conclusion -- References -- Part IV Biomedical Characteritics -- 11 3D Textures Analysis Based on Features Extraction -- 11.1 Introduction -- 11.2 Methods of Texture Measures -- 11.2.1 Decimal Descriptor Patterns (DDP) -- 11.2.2 Local Binary Patterns -- 11.2.3 Grey Level Co-occurrence Matrix Method.
11.3 Experiments and Results -- 11.3.1 Databases -- 11.3.2 Phases of Simulation -- 11.3.3 3D MR Brain Images Analysis -- 11.3.4 3D Face Analysis -- 11.3.5 Discussion -- 11.4 Conclusion -- References -- 12 Image Processing and Analysis for Decision Making Applied to Melanoma -- 12.1 Introduction -- 12.2 About Melanoma -- 12.3 Diagnostic Aid System Based on Score Computation -- 12.3.1 Images Acquisition -- 12.3.2 Images Pretreatment -- 12.3.3 Lesion Detection -- 12.3.4 Interpretation of Medical Images -- 12.4 Diagnostic Aid System Based on Machine Learning -- 12.4.1 Images Acquisition -- 12.4.2 Pretreatment of Dermatoscopic Images -- 12.4.3 Segmentation of Lesion Based on Region Growing Method -- 12.4.4 Skin Lesion Analysis -- 12.5 Experimental Results and Discussion -- 12.5.1 Approach Based on the MultiOtsu Principle -- 12.5.2 Approach Based on the Region Growing Method -- 12.5.3 Evaluation and Discussion -- 12.6 Conclusion -- References -- 13 Biomedical Computer Aided Design Systems: Application to Alzheimer Disease -- 13.1 Introduction -- 13.2 Proposed Methodology -- 13.3 Previous Works -- 13.3.1 Partial Least Square (PLS) -- 13.3.2 Kernel Partial Least Square (KPLS) -- 13.4 Proposed Downsized KPLS Method (DPLS) -- 13.5 Optimization with Multi-objective Optimization Algorithm -- 13.5.1 Principle -- 13.5.2 Selection of Kernel Parameter with Multi-Objective Optimization Algorithm -- 13.6 Classification Using Neural Networks -- 13.7 Experiments -- 13.7.1 Experiments on ADNI Dataset -- 13.7.2 Experiments on OASIS Dataset -- 13.8 Conclusion and Future Work -- References.
Record Nr. UNISA-996466727103316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advanced Palmprint Authentication / / by David Zhang, Dandan Fan, Xu Liang, Bob Zhang
Advanced Palmprint Authentication / / by David Zhang, Dandan Fan, Xu Liang, Bob Zhang
Autore Zhang David
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (506 pages)
Disciplina 006.248
Altri autori (Persone) FanDandan
LiangXu
ZhangBob
Soggetto topico Biometric identification
Computer vision
Pattern recognition systems
Machine learning
Biometrics
Computer Vision
Automated Pattern Recognition
Machine Learning
ISBN 981-9671-01-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 Towards Next-Generation Palmprint Recognition -- Part I CONTACT-BASED PALMPRINT RECOGNITION -- Chapter 2 Jointly Heterogeneous Palmprint Discriminant Feature Learning -- Chapter 3 Rich Orientation Coding for Large-Scale Palmprint Image Analysis -- Chapter 4 Hybrid Fusion Combining Palmprint and Palm Vein for Large-scale Palm-based Recognition -- Part II CONTACTLESS PALMPRINT RECOGNITION -- Chapter 5 Keypoint Localization Neural Network for Touchless Palmprint Recognition Based on Edge-Aware Regression -- Chapter 6 Hand-Geometry Aware Image Quality Assessment Framework for Contactless Palmprint Recognition -- Chapter 7 Touchless Palmprint Recognition Based on 3D Gabor Template and Block Feature Refinement -- Chapter 8 Aligned Multilevel Gabor Convolution Network for Palmprint Recognition -- Chapter 9 Contactless Palmprint Recognition System based on Dual-camera Alignment -- Part III MULTIPLE PALMPRINT SENSING SYSTEMS -- Chapter 10 Multi-camera System for High Speed Touchless Palm Recognition -- Chapter 11 Line-Scan Palmprint Acquisition System -- Chapter 12 Person Recognition Using 3-D Palmprint Data Based on Full-Field Sinusoidal FringeProjection -- Chapter 13 Complete Binary Representation for 3-D Palmprint Recognition -- Chapter 14 Book Reivew and Future Work.
Record Nr. UNINA-9911015866603321
Zhang David  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence for Biometrics and Cybersecurity : Technology and Applications
Artificial Intelligence for Biometrics and Cybersecurity : Technology and Applications
Autore Abd El-Latif Ahmed A
Edizione [1st ed.]
Pubbl/distr/stampa Stevenage : , : Institution of Engineering & Technology, , 2023
Descrizione fisica 1 online resource (368 pages)
Disciplina 006.248
Altri autori (Persone) HammadMohamed
MalehYassine
GuptaBrij B. <1982->
MazurczykWojciech
Collana Security Series
Soggetto topico Biometric identification - Technological innovations
Computer security - Technological innovations
Artificial intelligence - Industrial applications
Artificial intelligence
Identification biométrique - Innovations
Sécurité informatique - Innovations
Intelligence artificielle
Intelligence artificielle - Applications industrielles
artificial intelligence
ISBN 1-83724-442-1
1-5231-6296-1
1-83953-548-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents -- About the editors -- Preface -- 1. Introduction | Mohamed Hammad and Ahmed A. Abd El-Latif -- 2. AI in biometrics and cybersecurity | Mohamed Hammad and Ahmed A. Abd El-Latif -- 3. Biometric security performance: analysis methods and tools for evaluation and assessment | Mohamed Hammad and Ahmed A. Abd El-Latif -- 4. Leveraging generative adversarial networks and federated learning for enhanced cybersecurity: a concise review | Mohamed Hammad, Basma Abd El-Rahiem and Ahmed A. Abd El-Latif -- 5. A survey on face recognition methods with federated leaning | Huiting Sun, Jialiang Peng and Zhaogong Zhang -- 6. Artificial intelligence-based biometric authentication using ECG signal | Kiran Kumar Patro, Jaya Prakash Allam, Babji Prasad Chapa, P Lalitha Kumari and Mohamed Hammad -- 7. A comparative analysis of email phishing detection methods: a deep learning perspective | Cong Khoa Truong, Phuc Hao Do and Tran Duc Le -- 8. Securing hardware coprocessors against piracy using biometrics for secured IoT systems | Aditya Anshul, Rahul Chaurasia and Anirban Sengupta -- 9. Intelligent authentication system using graphical one-time passwords | Adarsha Sigdel, Kheng Cher Yeo, Yassine Maleh and Mamoun Alazab -- 10. Role of AI in social cybersecurity: real-world case studies | Mudasir Ahmad Wani, Mohamed Hammad and Ahmed A. Abd El-Latif -- 11. Ethical and privacy concerns and challenges | Mohamed Hammad, Mudasir Ahmad Wani and Ahmed A. Abd El-Latif -- 12. Conclusion | Mohamed Hammad and Ahmed A. Abd El-Latif -- Index
Record Nr. UNINA-9911007280803321
Abd El-Latif Ahmed A  
Stevenage : , : Institution of Engineering & Technology, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui