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 …

In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class
problem into many much easier two-class problems in sub-subspaces, was proposed to …

Using multimodal biometric systems that consolidate evidence from multiple biometric
sources can remove such as noisy sensor data, no-universality problems. In this paper …

Unimodal analysis of palmprint and palm vein has been investigated for person recognition.
However, they are not robust to noise and spoof attacks. In this paper, we present a …

This paper describes the design and development of a multimodal biometric personal
recognition system based on features extracted from a set of 14 geometrical parameters of …

A novel Gabor-based kernel principal component analysis (PCA) method by integrating the
Gabor wavelet representation of palm images and the kernel PCA method for palmprint …

Computational intelligence (CI) technologies are robust, can be successfully applied to
complex problems, are efficiently adaptive, and usually have a parallel computational …

There are increasing requirements for mobile personal identification, eg to protect identity
theft in wireless applications. Based on built-in cameras of mobile devices, palmprint images …

The development of accurate and reliable security systems is a matter of wide interest, and
in this context biometrics is seen as a highly effective automatic mechanism for personal …

This paper presents a novel Daubechies-based kernel Principal Component Analysis (PCA)
method by integrating the Daubechies wavelet representation of palm images and the …