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 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 …

This paper presents an identification-verification biometric system based on the combination
of geometrical and palm-print hand features. It attempts to improve the performance of …

A new approach for the personal identification using hand images is presented. This paper
attempts to improve the performance of palm-print-based verification system by integrating …

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 …

Multi-modal biometrics has numerous advantages over uni-modal biometric systems.
Decision level fusion is the most popular fusion strategy in multimodal biometric systems …

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 …

This paper proposes a bimodal biometric system for person identification using two traits,
hand geometry and palm texture. The proposed system use complete hand images to find …

This paper addresses two multimodal biometric verification system models based on
fingerprint, palm-print and hand-geometry, whose features can be extracted from the human …