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 …
Learning discriminant direction binary palmprint descriptor
Palmprint directions have been proved to be one of the most effective features for palmprint
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
[HTML][HTML] A performance evaluation of classic convolutional neural networks for 2D and 3D palmprint and palm vein recognition
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …
In the past two decades, many traditional methods have been proposed for palmprint …
Toward unconstrained fingerprint recognition: A fully touchless 3-D system based on two views on the move
Touchless fingerprint recognition systems do not require contact of the finger with any
acquisition surface and thus provide an increased level of hygiene, usability, and user …
acquisition surface and thus provide an increased level of hygiene, usability, and user …
Feature extraction for 3-D palmprint recognition: A survey
The 3-D palmprint recognition has been investigated for over ten years, and various
methods have been proposed for 3-D palmprint recognition. In this article, we present a …
methods have been proposed for 3-D palmprint recognition. In this article, we present a …
[HTML][HTML] 2D and 3D palmprint and palm vein recognition based on neural architecture search
Palmprint recognition and palm vein recognition are two emerging biometrics technologies.
In the past two decades, many traditional methods have been proposed for palmprint …
In the past two decades, many traditional methods have been proposed for palmprint …
3D palmprint identification using block-wise features and collaborative representation
Developing 3D palmprint recognition systems has recently begun to draw attention of
researchers. Compared with its 2D counterpart, 3D palmprint has several unique merits …
researchers. Compared with its 2D counterpart, 3D palmprint has several unique merits …
Suspecting less and doing better: New insights on palmprint identification for faster and more accurate matching
This paper introduces a generalized palmprint identification framework to unify several state-
of-art 2D and 3D palmprint methods. Through this framework, we argue that the methods …
of-art 2D and 3D palmprint methods. Through this framework, we argue that the methods …
Normalization and weighting techniques based on genuine-impostor score fusion in multi-biometric systems
The performance of a multi-biometric system can be improved using an efficient
normalization technique under the simple sum-rule-based score-level fusion. It can also be …
normalization technique under the simple sum-rule-based score-level fusion. It can also be …
A multi-biometric system based on feature and score level fusions
In general, the information of multiple biometric modalities is fused at a single level, for
example, score level or feature level. The recognition accuracy of a multimodal biometric …
example, score level or feature level. The recognition accuracy of a multimodal biometric …