As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …

Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …

Personal authentication is getting harder and harder in the internet of things (IoT). Existing
methods used for personal authentication, such as passwords and the two-factor …

Deep convolutional neural networks (DCNN) have been applied successfully for finger vein
recognition and have achieved promising performance in the past three years. However …

Biometric systems consist of devices, algorithms, and procedures used to recognize
individuals or classes of individuals based on their physical or behavioral characteristics …

This paper presents an efficient palmprint recognition technique for palmprints collected with
visible as well as multispectral imaging system. ROI extraction is a challenging task for …

Rotation and noise invariant feature extraction is a challenge in palmprint recognition. This
work presents a novel RDF descriptor based on Radon, Dual tree complex wavelet, and …

The use of palmprint recognition as biometric system to identify person through their palms
hand has been growing recently. The advantages of using this tool are its ability to …

掌纹图像蕴含丰富特征, 容易与手背静脉, 指节纹及手形特征进行多模态融合,
因此成为生物特征识别领域的热点. 文中主要从掌纹的采集, 感兴趣区域的检测 …

Different palmprint recognition methods have different advantages. The texture-and feature-
based palmprint recognition methods can well exploit the minutiae of the palmprint but are …