Among several palmprint feature extraction methods the HOG-based method is attractive
and performs well against changes in illumination and shadowing of palmprint images …

This article proposes robust features fusion methodology for supervised palmprint
recognition. The process of features fusion has been formulated according to the …

Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …

In this paper, we extensively exploit the discriminative orientation features of palmprint,
including the principal orientation and corresponding orientation confidence, and further …

Palmprint recognition, as a reliable personal identity check method, has been receiving
increasing attention during recent years. According to previous work, local texture analysis …

Sparse representation uses all training samples to represent a test sample only once, which
can be regarded as a one step representation. However, in palmprint recognition, the …

Palmprint recognition is an active member of biometrics in recent years. State-of-the-art
algorithms of palmprint recognition describe appearances of palmprints efficiently through …

Nowadays, important scientific works are oriented to develop optimal palmprint
representations, especially used in the palmprint recognition field. These representations …

In order to extract invariant features in the palmprint transformation of scale, rotation and
affine distortion, a coarse-to-fine palmprint recognition method is proposed by combining the …

Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …