Vatsa, 2005 - Google Patents
Reducing false rejection rate in iris recognition by quality enhancement and information fusionVatsa, 2005
View PDF- Document ID
- 10047929568255319879
- Author
- Vatsa M
- Publication year
External Links
Snippet
In this thesis we propose a set of algorithms to reduce the false rejection rate of iris recognition. Even though high recognition accuracy is claimed for iris recognition algorithms, high false rejection rates cause the impediment in worldwide use of iris biometrics.; A novel …
- 210000000554 Iris 0 title abstract description 425
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Barpanda et al. | Iris recognition with tunable filter bank based feature | |
Chirchi et al. | Iris biometric recognition for person identification in security systems | |
Latha et al. | Efficient approach to normalization of multimodal biometric scores | |
Barpanda et al. | Iris feature extraction through wavelet mel-frequency cepstrum coefficients | |
Kaur et al. | Robust iris recognition using moment invariants | |
Tyagi et al. | Multimodal biometric system using deep learning based on face and finger vein fusion | |
Choras | Multimodal biometrics for person authentication | |
Sujana et al. | An effective CNN based feature extraction approach for iris recognition system | |
Rajalakshmi et al. | A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system | |
Sarode et al. | Review of iris recognition: an evolving biometrics identification technology | |
Wang et al. | Iris recognition based on multialgorithmic fusion | |
Berriche | Comparative Study of Fingerprint‐Based Gender Identification | |
Singh et al. | Intelligent biometric information fusion using support vector machine | |
Gawande et al. | Improving iris recognition accuracy by score based fusion method | |
Aravinth et al. | A novel feature extraction techniques for multimodal score fusion using density based gaussian mixture model approach | |
Verma et al. | Fuzzy brain storm optimization and adaptive thresholding for multimodal vein-based recognition system | |
Kisku et al. | Multispectral palm image fusion for person authentication using ant colony optimization | |
Vatsa | Reducing false rejection rate in iris recognition by quality enhancement and information fusion | |
Mazumdar et al. | Biometric authentication system based on texture features of retinal images | |
Safavipour et al. | A hybrid approach for multimodal biometric recognition based on feature level fusion in reproducing kernel Hilbert space | |
Sallehuddin et al. | A survey of iris recognition system | |
Abbasi | Improving identification performance in iris recognition systems through combined feature extraction based on binary genetics | |
Gawande et al. | Adaptive Cascade Classifier based multimodal Biometric recognition and identification system | |
Garud et al. | Fingerprint and Palmprint Recognition using neighborhood operation and FAST features | |
Supriya et al. | Efficient iris recognition by fusion of matching scores obtained by lifting DWT and Log-Gabor methods of feature extraction |