This paper presents a new personal authentication system that simultaneously exploits 2D
and 3D palmprint features. The objective of our work is to improve accuracy and robustness …

Agglomerative clustering is a mainstream clustering method that can produce an informative
hierarchical structure of clusters. Existing similarities in agglomerative clustering are typically …

Palmprint recognition is an important and widely used modality in biometric systems. It has a
high reliability, stability and user acceptability. This paper proposes a new and effective …

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

Orientation features are successfully used in coding-based palmprint recognition methods.
In this paper, we propose a discriminative neighboring direction indicator to represent the …

Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …

A palmprint is a unique and reliable biometric feature with high usability. In the past
decades, many palmprint recognition systems have been successfully developed. However …

To alleviate the limitation that the recent texture based algorithms for palmprint recognition
yield unsatisfactory robustness to the variations of orientation, position and illumination in …

The recent years have witnessed a dramatic shift in the way of biometric identification,
authentication, and security processes. Among the essential challenges that face these …

This paper focuses on the use of image-based techniques in fingerprint verification. A
detailed review of the existing literature is provided by classifying existing methods on the …