Dynamic differential annealing-based anti-spoofing model for fingerprint detection using CNN

Fingerprint Liveness Detection Using Deep Learning

“…Maheswari et al [9] studied a convolutional neural network and dynamic differential annealing (CNN-DDA)based spoofed fingerprint detection. In the related study CNN-DDA approach is proposed to analyze and evaluate the false or forged fingerprint concerning spoof forgery authentication system.…”

3D CNN-based fingerprint anti-spoofing through optical coherence tomography

“…Uliyan et al [ 17 ] used discriminative restricted Boltzmann machines to accurately recognize the fingerprints against fabricated materials used for spoofing. Maheswari et al [ 18 ] proposed convolution neural network and dynamic differential annealing (CNN-DDA)-based spoofed fingerprint detection to analyze and evaluate fingerprint spoofing and forgery authentication systems. Kong et al [ 19 ] proposed a novel method for handling noisy information: channel-wise feature denoising for fingerprint presentation attack detection (CFD-PAD).…”