This paper builds upon a previously proposed automatic palmprint alignment and
classification system. The proposed system was geared towards palmprints acquired from …

Contactless and online palmprint identification offers improved user convenience, hygiene,
user-security and is highly desirable in a range of applications. This paper proposes an …

This paper introduces an improved approach to palmprint segmentation. The approach
enables both contact and contactless palmprints to be segmented regardless of constraining …

Contactless palmprints are comprised of both global and local discriminative features. Most
prior work focuses on extracting global features or local features alone for palmprint …

Contactless palmprint identification offers significantly improved hygiene and user
convenience, making it highly attractive for a range of civilian applications, especially during …

As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

Biometrie data is utilized by governmental and institutional entities to ascertain the unique
identity of an individual. Palm print data, a significant element of biometric information, is …

Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual
recognition. In this paper, we present a comparative study of three popular pre-trained CNN …

In the past few years, there has been a leap from traditional palmprint recognition
methodologies, which use handcrafted features, to deep-learning approaches that are able …