Research Article
Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography
Table 6
Accuracy and maximum TAR of proposed and existing authentication schemes.
| | Methods | Dataset used | Algorithm used | Maximum TAR | Accuracy |
| | Deepanshu kumar et al. [23] | MMU | DWT+DCT | 75.59% | 80% | | N.L. Manasa et al. | CASIA | LBP score level fusion | 97% | 98.2% | | Mohamed Abdolahi et al. [24] | CASIA | Fuzzy logic | 93% | 97.5% | | Gayathri et al. [25] | IITK iris | Fusion technique | 87% | 99.2% | | Velmurugan et al. [26] | CASIA and IITD iris | DCT wavelet technique | 91% | 99.4% | | Fernando et al. [27] | CASIA internal v-3 | 2D Gabor | 99.8% | 99% | | Mohamed Hamaz Abed [28] | CHUK iris | DWT and cosine | 99.25% | 98% | | Serestina et al. [29] | CASIA and UBIRIS | Vote-based strategies | 96% | 99.6% | | Proposed iris recognition without fuzzy logic | CASIA and IITD iris | 2D Gabor + HECC | 100% | 99.69% | | Proposed iris recognition using fuzzy logic | CASIA and IITD iris | 2D Gabor + HECC+ fuzzy logic | 100% | 99.74% |
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