Due to the great advances in biomedical digital signal processing, new biometric traits have
showed noticeable improvements in authentication systems. Recently, the …

The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …

Multimodal biometric systems fuse information from multiple modalities to overcome
limitations of individual classifiers. Score level fusion of multiple classifiers can effectively …

In this article, we propose a novel finger multimodal biometric authentication that combines
finger vein, fingerprint, finger shape and finger knuckle print features of a single human …

Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

A multimodal biometric system for personal identity verification is proposed using hand
shape and hand geometry in this paper. Shape and geometry features are derived with the …

Multimodal biometric systems aim to improve the recognition accuracy by minimizing the
limitations of unimodal systems. In this paper, different fusion schemes based on feature …

Accepted: 6 December 2020 Due to the COVID-19 pandemic, automated contactless person
identification based on the human hand has become very vital and an appealing biometric …

This work presents an approach for combining texture and shape feature sets towards age‐
invariant face recognition. Physiological studies have proven that the human visual system …

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 …