Palmprint is deemed as one of the most important biometric modalities. Many coding-based
palmprint recognition methods have achieved satisfactory recognition performance, which …

A novel palmprint recognition called improved differential box counting (IDBC) with multi-
scale and multi-directional is proposed in this paper. At present, fractal dimension as feature …

The increasing demand to develop a palmprint biometric system with a low-error rate has
prompted scientists to use multispectral imaging to overcome the limits of the techniques that …

Palmprint recognition provides a potential solution for noninvasive personal authentication
due to its excellent contactless property and user-security, and it has attracted tremendous …

With the development of IoT and mobile devices, cross-device palmprint recognition is
becoming an emerging research topic in multimedia for its great application potential. Due to …

Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

Limited processing power, hand pose variations, complicated backgrounds and changing
illumination are some of the inherent problems in mobile palmprint recognition. In this paper …

Among several palmprint recognition methods proposed recently, coding-based approaches
using multi-spectral palmprint images are attractive owing to their high recognition rates …

This paper employs both two-dimensional (2D) and three-dimensional (3D) features of
palmprint for recognition. While 2D palmprint image contains plenty of texture information …

Extracting rotation and translation invariant features is a difficult task for palmprint
recognition. Traditional methods have difficulty in dealing with palmprint images degraded …