Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …

In this paper we introduce a template-based method for recognizing human actions called
action MACH. Our approach is based on a maximum average correlation height (MACH) …

Palmprint recognition has been investigated over 10 years. During this period, many
different problems related to palmprint recognition have been addressed. This paper …

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 …

This paper investigates a new approach for personal authentication using fingerback
surface imaging. The texture pattern produced by the finger knuckle bending is highly …

Subspace learning methods are very sensitive to the illumination, translation, and rotation
variances in image recognition. Thus, they have not obtained promising performance for …

Two-dimensional (2-D) hand-geometry features carry limited discriminatory information and
therefore yield moderate performance when utilized for personal identification. This paper …

Enhancing information security via reliable user authentication in wireless body area
network (WBAN)-based Internet-of-Things (IoT) applications has attracted increasing …

This paper presents a new approach to achieve the performance improvement for the
traditional palmprint authentication approaches. The cohort information is used in the …

Palmprint is a promising biometric feature for use in access control and forensic
applications. Previous research on palmprint recognition mainly concentrates on low …