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Multibiometric fusion strategy and its applications: A review
The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
The fall of one, the rise of many: a survey on multi-biometric fusion methods
LM Dinca, GP Hancke - IEEE Access, 2017 - ieeexplore.ieee.org
Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
Dual-source discrimination power analysis for multi-instance contactless palmprint recognition
Due to the benefits of palmprint recognition and the advantages of biometric fusion systems,
it is necessary to study multi-source palmprint fusion systems. Unfortunately, the research on …
it is necessary to study multi-source palmprint fusion systems. Unfortunately, the research on …
Discriminative and robust competitive code for palmprint recognition
Various palmprint recognition methods have been proposed based on orientation features
of palmprints. Among them, the competitive code method using the dominant orientation of …
of palmprints. Among them, the competitive code method using the dominant orientation of …
Local apparent and latent direction extraction for palmprint recognition
Direction information of the palmprint provides one of the most promising features for
palmprint recognition. However, more existing direction-based methods only extract the …
palmprint recognition. However, more existing direction-based methods only extract the …
Palmprint recognition based on complete direction representation
Direction information serves as one of the most important features for palmprint recognition.
In the past decade, many effective direction representation (DR)-based methods have been …
In the past decade, many effective direction representation (DR)-based methods have been …
Half-orientation extraction of palmprint features
Orientation features of the palmprint are usually used in palmprint recognition methods.
Conventional orientation based methods are always based on an assumption that the line in …
Conventional orientation based methods are always based on an assumption that the line in …
[HTML][HTML] Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning
Palmprint verification is one of the most significant and popular approaches for personal
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …
Double-cohesion learning based multiview and discriminant palmprint recognition
Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …
existing palmprint representation methods are focused on a special application scenario …