OCT Fingerprint Presentation Attack Detection Using Frequency Disentangling Features

Keyphrases

• B-scan 100%
• Fingerprint Presentation Attack Detection 100%
• Bona Fide 66%
• Learning-based 66%
• Latent Code 66%
• Presentation Attack 66%
• Fingerprint Imaging 66%
• Fake Fingerprint 66%
• Superior Performance 33%
• 3D Imaging 33%
• Domain Learning 33%
• Texture Features 33%
• Feature Extraction Methods 33%
• Convolutional Neural Network 33%
• Discriminative Features 33%
• Imaging Techniques 33%
• Performance Comparison 33%
• Extraction Time 33%
• Original Image 33%
• Neural Network Structure 33%
• Comparison Experiment 33%
• Domain-independent 33%
• Spatial Domain 33%
• Multiple Layers 33%
• Invalid 33%
• Epidermis 33%
• Information Representation 33%
• Automatic Feature Extraction 33%
• Information Distribution 33%
• Anti-counterfeiting 33%
• Surface Image 33%
• Attack Detection System 33%
• Attack Detection 33%
• Fingerprint Data 33%
• Fingerprint Image 33%
• High-resolution Fingerprints 33%
• Fingerprint Recognition 33%
• Presentation Attack Detection 33%
• Synthetic Fingerprint 33%
• Subsurface Fingerprint 33%
• Fingerprint Information 33%
• Sweat Gland 33%
• Minimum Error 33%
• Fingerprint Anti-spoofing 33%
• 3D Attacks 33%
• Domaining 33%
• Discrete Wavelet Transform DWT 33%
• Residual Structure 33%
• Finger Vein 33%
• Robust Information 33%
• Time-domain Method 33%
• Biometric Structures 33%
• Frequency Subband 33%
• Frequency Features 33%
• Frequency Code 33%
• Optical Coherence 33%

Computer Science

• Frequency Domain 100%
• Presentation Attack Detection 100%
• Experimental Result 50%
• Convolutional Neural Network 50%
• 3D Imaging 50%
• Biometrics 50%
• Feature Extraction 50%
• Texture Feature 50%
• Superior Performance 50%
• Discriminative Feature 50%
• Detection Algorithm 50%
• Spatial Domain 50%
• Information Representation 50%
• Wavelet Transforms 50%
• Performance Comparison 50%
• Fingerprint Data 50%
• Distribution Information 50%
• Fingerprint Image 50%
• Anti-Spoofing 50%
• Fingerprint Recognition 50%
• Frequency Feature 50%
• Time Domain Processing 50%
• Frequency Subbands 50%