… Palmprint recognition is an important and widely used modality in biometric systems. It has
… This paper proposes a new and effective ensemble classifier for palmprint recognition based …

… This paper aims to enhance palmprint identification … ensemble of sparse representations
through an ensemble of discriminative dictionaries satisfying SRC assumption. The ensemble …

… -set palmprint recognition. We proposed deep ensemble hashing (DEH) for open-set palmprint
recognition… Palmprint identification and verification experiments were performed on PolyU …

… ensembles of matchers which employ different feature representation schemes of the images:
discrete cosine coefficients; invariant local binary patterns; Gabor filters. Each ensemble is …

… a simple and effective ensemble learning method for palmprint identification based on …
ensemble classifier, we seek to learn a large number of classifiers on different and discrimi- …

… The oldest is the fingerprint that was used to identify criminal in murder mystery in …
classification techniques have been evaluated in this research. The performance of all classification …

… fingerprint images, and use of lone classifier, we put forward a novel hybrid PAD technique
that substantially improves the overall accuracy. In the succeeding sections, we describe the …

… for identification of individuals in fingerprint recognition system. … of the fingerprint recognition
systems using classifiers. To … By applying Bagged Tree Ensemble Classifier model for …

… in iris recognition, palmprint recognition, face recognition and fingerprint recognition. For
iris … is a conventional Daugman-like classifier while the classifier at the second stage uses “…

… Euclidean distance classifier is used for palmprint recognition on these newly created features.
In [7] several features are extracted from each feature point of the vein patterns and used …