Biometric Recognition
Springer International Publishing (Verlag)
978-3-030-86607-5 (ISBN)
The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics; hand biometrics; facial biometrics; and speech biometrics.
Multi-modal biometrics and Emerging Biometrics.- A Novel Dual-modal Biometric Recognition Method Based on Weighted Joint Sparse Representation Classification.- Personal Identification with Exploiting Competitive Tasks in EEG Signals.- A Systematical Solution for Face De-identification.- Skeleton-Based Action Recognition with Improved Graph Convolution Network.- End-to-end Finger Trimodal Features Fusion and Recognition Model Based on CNN.- Mouse Dynamics Based Bot Detection Using Sequence Learning.- A New Age-groups Classifying Method for Irrawaddy Dolphin.- Auricular Point Localization Oriented Region Segmentation for Human Ear.- Portrait Thangka Image Retrieval via Figure Re-dentification.- To See Facial Expressions Through Occlusions via Adversarial Disentangled Features Learning with 3D Supervision.- Automatically Distinguishing Adult from Young Giant Pandas Based on Their Call.- Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with BrainRegions.- A Deep Attention Transformer Network for Pain Estimation with Facial Expression Video.- Cognitive Analysis of EEG Signals Induced by Visual Stimulation of Facial Emotion.- 3D Context-Aware PIFu for Clothed Human Reconstruction.- Facial Expression Synthesis with Synchronous Editing of Face Organs.- Multi-lingual Hybrid Handwritten Signature Recognition Based on Deep Residual Attention Network.- Traumatic Brain Injury Images Classification Method Based on Deep Learning.- Palatal Rugae Recognition via 2D Fractional Fourier Transform.- Hand Biometrics.- Fusion of Partition Local Binary Patterns and Convolutional Neural Networks for Dorsal Hand Vein Recognition.- Pose-Specific 3D Fingerprint Unfolding.- Finger Vein Recognition Using A Shallow Convolutional Neural Network.- Finger Crystal Feature Recognition Based on Graph Convolutional Network.- Signatured Fingermark Recognition Based on Deep Residual Network.- Dorsal Hand Vein Recognition Based on Transfer Learning with Fusion of LBP Feature.- An Improved Finger Vein Recognition Model with A Residual Attention Mechanism.- A Lightweight CNN using HSIC Fine-tuning for Fingerprint Liveness Detection.- An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition.- A Novel Local Binary Operator Based on Discretization for Finger Vein Recognition.- A Generalized Graph Features Fusion Framework for Finger Biometric Recognition.- A STN-based Self-supervised Network for Dense Fingerprint Registration.- An Arcloss-based and Openset-test-oriented Finger Vein Recognition System.- Different Dimension Issues in Deep Feature Space for Finger-vein Recognition.- Facial Biometrics.- Holistic Co-occurrence Prior for High-density Face Detection.- Iris Normalization Beyond Appr-circular Parameter Estimation.- Non-Segmentation and Deep-Learning Frameworks for Iris Recognition.- Incomplete Texture Repair of Iris Based on Generative Adversarial Networks.- Deepfakes Detection Technology Basedon Multi Scale Fusion.- Balance Training for Anchor-free Face Detection.- One-Class Face Anti-spoofing Based on Attention Auto-encoder.- Full Quaternion Matrix and Random Projection for Bimodal Face Template Protection.- Kinship Verification via Reference List Comparison.- Face Attribute Estimation with HMAX-GCNet Model.- Wavelet-based Face Inpainting with Channel Relation Attention.- Monocular 3D Target Detection Based on Cross-modal and Mass Perceived Loss.- Low-quality 3D Face Recognition with Soft Thresholding.- Research on Face Degraded Image Generation Algorithm for Practical Application Scenes.- Embedding Fast Temporal Information Model to Improve Face Anti-spoofing.- Speech Biometrics.- Jointing Multi-task Learning and Gradient Reversal Layer for Far-field Speaker Verification.- Attention Network with GMM Based Feature for ASV Spoofing Detection.- Cross-corpus Speech Emotion Recognition Based on Sparse Subspace Transfer Learning.- Channel Enhanced Temporal-Shift Module for Efficient Lipreading.- Explore the Use of Self-supervised Pre-trained Acoustic Features on Disguised Speech Detection.
| Erscheinungsdatum | 07.10.2021 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XVII, 493 p. 41 illus., 1 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 777 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Access Control • Applications • Artificial Intelligence • biometrics • Computer Science • Computer Security • computer vision • conference proceedings • Data Security • face recognition • gesture recognition • Image Analysis • Image Processing • image reconstruction • Image Segmentation • Informatics • machine learning • Neural networks • pattern recognition • Research |
| ISBN-10 | 3-030-86607-6 / 3030866076 |
| ISBN-13 | 978-3-030-86607-5 / 9783030866075 |
| Zustand | Neuware |
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