In this paper, a new approach of multimodal finger biometrics based on the fusion of finger
vein and finger geometry recognition is presented. In the proposed method, Band Limited …

A detailed and state-of-the-art landslide inventory map including precise landslide location
is greatly required for landslide susceptibility, hazard, and risk assessments. Traditional …

Biometric recognition can be used to improve gesture-based interfaces by automatically
identifying operators. Traditional palm biometric recognition techniques depend on palm …

The discriminative ability of geometric features can be well supported by empirical studies in
ear recognition. Recently, a number of methods have been suggested for geometric feature …

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 …

The analysis of the shape and geometry of the human hand has long represented an
attractive field of research to address the needs of digital image forensics. Over recent years …

Multimodal emotion recognition is an important research direction within artificial
intelligence. In this study, we propose a model for acoustic-articulatory emotion recognition …

In certain cases, the only evidence to identify terrorists, who are seen in digital images or
videos is their hands' shapes, particularly, the victory sign as performed by many of them …

Biometric-based hand modality is considered as one of the most popular biometric
technologies especially in forensic applications. In this paper, a bimodal hand identification …

In recent years hand geometric dependent biometric system has shown to be the quite
acceptable biometric trait and suitable for security applications. It has been recognized as an …