Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

Palmprint recently shows great potential in recognition applications as it is a privacy-friendly
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …

The lack of large-scale data seriously hinders the development of palmprint recognition.
Recent approaches address this issue by generating large-scale realistic pseudo palmprints …

The current lightweight face recognition models need improvement in terms of floating point
operations (FLOPs), parameters, and model size. Motivated by ConvNeXt and …

Cross-dataset palmprint recognition promotes the convenience and flexibility of palmprint
recognition. However, most of the current cross-dataset palmprint recognition methods need …

Palmprint has shown promising potential for biometrics recognition due to its excellent
contactless and hygienic properties. However, most existing methods focus only on feature …

Contactless palm vein recognition plays a significant role in biometric application because of
its high stability, non-intrusive, flexibility and unique nature. Thus, different neural …

Wild fish recognition is a fundamental problem of ocean ecology research and contributes to
the understanding of biodiversity. Given the huge number of wild fish species and …

Overcoming challenges in the current cancelable palmprint template is essential for
enhancing privacy and security in biometric systems, as these templates exhibit …

A novel method based on the cross‐modality intersecting features of the palm‐vein and the
palmprint is proposed for identity verification. Capitalising on the unique geometrical …