EFFICIENT AND PRIVACY-PRESERVING ONLINE FINGERPRINT AUTHENTICATION SCHEME OVER OUTSOURCED DATA (KEY IJP************351)

• Vishnupriya . N,Priyalatha. S,Pavyasri.s,Vasantha. S

Abstract

Systems for Automatic Fingerprint Recognition Since then, Presentation Attack (PA) has threatened (AFRSs).its presence Therefore, developing an effective presentation is preferred. Approaches for attack detection (PAD3). However, the unforeseen as make PAD a difficult issue. This essay suggests anew Optical Coherence One-Class PAD (OCPAD) approach Technology-based fingerprint PA detection using pictures (OCT). The suggested OCPAD model was discovered during training. Set only includes Bonfires (i.e. real fingerprints). To get We provide an activation method for a more precise reconstruction error. Using a map-based weighting approach, the accuracy of inaccuracy in reconstruction. We test various statistics and distance measures and finally use a decision level fusion to make the prediction. Our experiments are performed using a dataset with 93200 bonfire scans and 48400 PA scans. The results show that the proposed OCPAD can achieve a True Positive Rate (TPR) of 99.43% when the False Positive Rate (FPR)equals to 10% and a TPR of 96.59% when FPR 5%, which significantly outperformed a feature based approach and supervised learning based model requiring PAs for training.