[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Vatsa, 2005 - Google Patents

Reducing false rejection rate in iris recognition by quality enhancement and information fusion

Vatsa, 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 …
Continue reading at researchrepository.wvu.edu (PDF) (other versions)

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