Biometric Recognition : 14th Chinese Conference, Ccbr 2019, Zhuzhou, China, October 12-13, 2019, Proceedings
Overview
Hand-Based Biometrics.- Local Discriminative Direction Extraction for Palmprint Recognition.- Fingerprint Presentation Attack Detection via Analyzing Fingerprint Pairs.- Finger Vein Recognition Based on Double-Orientation Coding Histogram.- Fingerprint Classification Based on Lightweighyt Neural Networks.- 3D Fingerprint Gender Classification Using Deep Learning.- A Novel Method for Finger Vein Recognition.- Rolled Fingerprint Mosaicking Algorithm Based on Block Scale.- Study and Realization of Partial Fingerprint Mosaicking Technology for Mobile Devices.- Gesture, Gait and Action.- Multiscale Temporal Network for Video-based Gait Recognition.- Global and Local Spatial-Attention Network for Isolated Gesture Recognition.- Authentication System Design Based On Dynamic Hand Gesture.- Feature Extraction and Classification Theory.- Structure Feature Learning: Constructing Functional Connectivity Network for Alzheimer's disease Identification and Analysis.- Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Pooling.- Embarrassingly Easy Zero-Shot Image Recognition.- On the Generalization of GAN Image Forensics.- Face.- Deep Residual Equivariant Mapping for Multi-Angle Face Recognition.- The Impact of Data Correlation on Identification of Computer-Generated Face Images.- Face Image Deblurring Based on Iterative Spiral Optimization.- AdaptiveNet: Toward an Efficient Face Alignment Algorithm.- Cross-dimension Transfer Learning for Video-based Facial Expression Recognition.- Exploring Shape Deformation in 2D Images for Facial Expression Recognition.- Facial attractiveness prediction by Deep Adaptive Label Distribution Learning.- LWFD: A Simple Light-Weight Network for Face Detection.- Dairy Cow Tiny Face Recognition Based on Convolutional Neural Networks.- Reconstructed Face Recognition.- A Two-Stage Method for Assessing Facial Paralysis Severity by Fusing Multiple Classifiers.- Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spoofing.- Similarity Measurement between Reconstructed 3D Face and 2D Face based on Deep Learning.- Real-time Face Occlusion Recognition Algorithm Based on Feature Fusion.- Joint Face Detection and Alignment Using Focal Loss-based Multi-task Convolutional Neural Networks.- A Face Recognition Workflow Based upon Similarity Measurement.- 106-Point Facial Landmark Localization with Mobile Networks Based on Regression.- Eye-Based Biometrics.- Long Range Pupil Location Algorithm Based on the Improved Circle Fitting Method.- Multi-source heterogeneous iris recognition using Locality Preserving Projection.- Iris Recognition Based on Adaptive Optimization Log-Gabor Filter and RBF Neural Network.- Retinal vessel segmentation method based on improved deep U-net.- Multi-pyramid Optimized Mask R-CNN for Iris Detection and Segmentation.- Constrained Sequence Iris Quality Evaluation Based on Causal Relationship Decision Reasoning.- Iris Image Super Resolution based on GANs with Adversarial Triplets.- SDItg-Diff Noisy Iris Localization based on Statistical Denoising.- End to end robust recognition method for iris using a dense deep convolutional neural network.- Emerging Biometrics.- X-Ray Image With Prohibited Items Synthesis Based on Generative Adversarial Network.- A Deep learning Approach to Web Bot Detection Using Mouse Behavioral Biometrics.- Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs.- Shoe Pattern Recognition: A Benchmark.- Learning Discriminative Representation for ECG Biometrics Based on Multi-Scale 1D-PDV.- Off-line handwritten signature recognition based on discrete curvelet transform.- Research on automatic classification method of footwear under low resolution condition.- Behavioral Biometrics.- Low-resolution Person Re-identification By a Discriminative Resolution-invariant Network.- DHML: Deep Heterogeneous Metric Learning for VIS-NIR Person Re-identifi
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Details
- ISBN-13: 9783030314552
- ISBN-10: 3030314553
- Publisher: Springer
- Publish Date: September 2019
- Dimensions: 9.21 x 6.14 x 1.09 inches
- Shipping Weight: 1.65 pounds
- Page Count: 521
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