Most of the existing techniques for palmprint recognition rely on metrics, typically based on
static functions, which evaluate the distance between a pair of features. In this paper, we …

This paper presents a new approach to palmprint retrieval for personal identification. Three
key issues in image retrieval are considered: feature extraction, similarity measurement and …

Multispectral palmprint recognition system (MPRS) is an essential technology for effective
human identification and verification tasks. To improve the accuracy and performance of …

This paper proposes an accurate and efficient multi-modal authentication system that makes
use of palm and knuckleprint samples. Biometric images are transformed using the …

In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class
problem into many much easier two-class problems in sub-subspaces, was proposed to …

In this paper, we propose a novel approach of Gabor feature-based (2D) 2PCA (GB (2D)
2PCA) for palmprint recognition. Three main steps are involved in the proposed GB (2D) …

Locality preserving projections (LPP) is a new subspace feature extraction method which
seeks to preserve the local structure and intrinsic geometry of the data space. As the LPP …

Palmprint is a widely used biometric trait deployed in various access-control applications
due to its convenience in use, reliability, and low cost. In this paper, we propose a novel …

Various techniques in analyzing palmprint have been proposed but to the best of our
knowledge, none has been studied on the selection and division of the region-of-interest …

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 …