Single-sensor approaches to multimodal biometric authentication targeting the human hand
in multiple-matcher scenarios provide higher security in terms of accuracy and resistance to …

Nowadays the question of identifying a person assumes a major role in many applications.
To circumvent the limitations of traditional identity recognition mechanisms (eg, passwords …

This paper presents a multimodal biometric identification system based on the combination
of geometrical, palm and finger print features of the human hand. The right hand images are …

Biometrics is an emerging technology that is used to identify people by their physical and/or
behavioural characteristics and, so, it inherently requires that the person to be identified is …

In this paper we present a multimodal biometric authentication system based on features of
the human hand. A new biometric approach to biometric authentication based on eigen …

This paper proposes a secure multimodal biometric recognition system with a multi-level
fusion architecture. A multi-spectral camera is used to capture hand images in the visible …

Biometric systems are widely used for accurate personal identification for access control.
Unimodal systems have been well-developed and are being used extensively in different …

This paper presents a multimodal biometric identification system based on the geometrical
and palm print features of the human hand. The right hand images are acquired by a …

This study proposes a biometric system for personal identification based on three biometric
characteristics from the hand, namely: the palmprint, finger surfaces and hand geometry. A …

We describe the design and development of a prototype whole-hand imaging system. The
sensor is based on multispectral technology that is able to provide hand shape, fingerprints …