Cross disciplinary biometric systems
Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2012. |
| Collection: | Intelligent Systems Reference Library
37 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Cross Disciplinary Biometric Systems, Texte imprimé, 9783642284564 • Cross Disciplinary Biometric Systems, Texte imprimé, 9783642428401 • Cross Disciplinary Biometric Systems, Texte imprimé, 9783642284588 |
Table des matières:
- Feature Local Binary Patterns New Color Features for Pattern Recognition Gabor-DCT Features with Application to Face Recognition Frequency and Color Fusion for Face Verification Mixture of Classifiers for Face Recognition Across Pose Wavelet Features for 3D Face Recognition Minutiae-based Fingerprint Matching Iris segmentation: state of the art and innovative methods Various Discriminatory Features for Eye Detection LBP and Color Descriptors for Image Classification