Multimodal biometrics has recently gained interest over single biometric modalities. This stems from the fact that this technique offers improvements in recognition and more security. In ongoing research programme, we propose a new feature extraction for system based on face iris recognition. The of facial features is performed using Discrete Wavelet Transform combined with Singular Value Decom...

The object of research is the algorithm piecewise linear approximation when applying it to selection facial features and compression its images. One problem areas obtain optimal ratio degree accuracy image reproduction, as well obtained features, which can be used search for people in databases. main characteristics face are coordinates size eyes, mouth, nose other objects attention. Dimensions...

this paper is based on a combination of the principal component analysis (pca), eigenface and support vector machines. using n-fold method and with respect to the value of n, any person’s face images are divided into two sections. as a result, vectors of training features and test features are obtain ed. classification precision and accuracy was examined with three different types of kernel and...