In this article we use, for palmprint feature extraction, descriptors generated with SIFT (Scale-
invariant feature transform) algorithm. The main idea was to generate for each image in the …

In this paper we present a two steps method for palmprint classification, that combine texture
feature and SURF descriptors extracted from palmprint images. Depending on the choice of …

Palmprint recognition has been widely studied for security applications. However, there is a
lack of in-depth investigations on robust palmprint recognition. Regression analysis being …

In this paper the palmprint recognition problem was studied using SURF (Speeded Up
Robust Features) keypoints. The main setback when using SURF is that it computes, for the …

In this article, a novel palmprint/palmvein recognition algorithm is proposed. The algorithm
firstly extracts the palmprint/palmvein feature by the principal component analysis network …

Palmprints have gained enormous popularity in the biometric industry recently. Due to the
large amount of information provided by the palmprints and their forensic value, many large …

Palmprint-based biometric recognition has received tremendous attention due to its several
advantages such as high security, non-invasive and good hygiene propensities. Recent …

In this paper, we deal with multimodal biometric systems based on palmprint recognition. In
this regard, several palmprint-based approaches have been already proposed. Although …

Palmprint recognition has recently attracted broad attention due to its rich discriminative
features, contactless collection manner and less invasive. However, most existing methods …

This article has propose a dorsal hand vein (DHV) DevOps acknowledgment recognition
framework by utilizing a Convolutional Neural Network (CNN) and DevOps. Furthermore …