AI and Deep Learning in Biometric Security

AI and Deep Learning in Biometric Security

Trends, Potential, and Challenges

Ramachandra, Raghavendra; Jaswal, Gaurav; Kanhangad, Vivek

Taylor & Francis Ltd

10/2024

364

Mole

9780367672515

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Deep Learning-Based Hyperspectral Multimodal Biometric Authentication System Using Palmprint and Dorsal Hand Vein. 2. Cancelable Biometrics for Template Protection: Future Directives with Deep Learning. 3. On Training Generative Adversarial Network for Enhancement of Latent Fingerprints. 4. DeepFake Face Video Detection Using Hybrid Deep Residual Networks nad LSTM Architecture. 5. Multi-spectral Short-Wave Infrared Sensors and Convolutional Neural Networks for Biometric Presentation Attack Detection. 6. AI-Based Approach for Person Identification Using ECG Biometric. 7. Cancelable Biometric Systems from Research to Reality: The Road Less Travelled. 8. Gender Classification under Eyeglass Occluded Ocular Region: An Extensive Study Using Multi-spectral Imaging. 9. Investigation of the Fingernail Plate for Biometric Authentication using Deep Neural Networks. 10. Fraud Attack Detection in Remote Verification systems for Non-enrolled Users. 11. Indexing on Biometric Databases. 12. Iris Segmentation in the Wild Using Encoder-Decoder-Based Deep Learning Techniques. 13. PPG-Based Biometric Recognition: Opportunities with Machine and Deep Learning. 14. Current Trends of Machine Learning Techniques in Biometrics and its Applications.
PPG Signal;Pattern Recognition;Biometric Traits;Machine Learning;Biometric Systems;Image Processing;Score Level Fusion;Computer Vision;Biometric Template;Convolutional Neural Networks;CNN Model;Cryptography;ROI Extraction;Biometric security;Gabor Filters;ROI segmentation;CNN Architecture;Artificial intelligence;Feature Vectors;Deep learning approaches;Data Set;Electrocardiogram;Convolutional Layer;Multimodal Biometric;Template Protection;BDD;Deep Learning Techniques;Stacked Auto Encoders;Dorsal Hand Vein;Biometric Recognition;Biometric Modalities;Latent Fingerprint;LBP.;Nail Plates;DNN Model;Ocular Region