Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

Biometrics is a critical component of cybersecurity that identifies persons by verifying their
behavioral and physical traits. In biometric-based authentication, each individual can be …

With the improvement of arithmetic power and algorithm accuracy of personal devices,
biological features are increasingly widely used in personal identification, and palm vein …

Phase-based image matching has shown high recognition accuracy in palmprint verification.
The algorithm compares a pair of palmprint images by extracting local phase features from …

In addition to the high security required for sensitive data in recent years, the availability of
low-cost data acquisition devices for biometrics and impressive advances in digital …

Sažetak Due to stable and discriminative features, palmprint-based biometrics has been
gaining popularity in recent years. Most of the traditional palmprint recognition systems are …

The single variance Gabor filters have widely been employed for palmprint structural
representation. These filters display inefficient representation due to loss in information …

In existing biometric authentication methods, the user must perform an authentication
operation such as placing a finger in a scanner or facing a camera. With ear acoustic …

Nowadays, palmprint recognition has been well developed since plenty of promising
algorithms have emerged. Palmprints have also been applied under various authentication …

In this paper, we deal with multimodal biometric systems based on palmprint recognition. In
this regard, several palmprint-based approaches have been already proposed. Although …