Although configural processing is considered a hallmark of normal face perception in humans, there is ample evidence that processing face components also contributes to face recognition and identification. Indeed, most contemporary models posit a dual-code view in which face identification relies on the analysis of individual face components as well as the spatial relations between them. We exp...

abstract one of the technologies that deal with efficient use of water is sprinkler irrigation systems. if farmers are to continue the use of sprinkler systems which may be crucial in agricultural development, educational programs should be tailored to their needs. therefore, the main purpose of this study was to analyze educational needs of farmers equipped with sprinkler irrigation. furthermo...

In this paper a comparative analysis of K-Principle Component Analysis (K-PCA) and K-Nearest Neighbor (K-NN) classifier is done for age invariant face recognition using Indian Face Age Database (IFAD). IFAD is a real time and wild in face database which can be used for face recognition at different variation parameters. These variations can be pose, illumination, occulation, and age. In this pa...

The adult N170 is considered to be an electrophysiological marker of specialised mechanisms for face processing, but little is known about its developmental origin. Previous work has identified two face-sensitive infant ERP components (N290 and P400) (J. Cog. Neurosci. 14 (2002), 199). In the present study, we assessed the specificity (to upright human faces) of these infant components at 3 and...

In this paper, we propose a wavelet-based illumination normalization method for face recognition against different directions and strength of light. Here, by one-level discrete wavelet transform, a given face image is first decomposed into low frequency and high frequency components, respectively, and then the two components are processed separately through contrast enhancement to eliminate the...

We consider the problem of representing individual faces by maximum L1-norm projection subspaces calculated from available face-image ensembles. In contrast to conventional L2-norm subspaces, L1-norm subspaces are seen to offer significant robustness to image variations, disturbances, and rank selection. Face recognition becomes then the problem of associating a new unknown face image to the “c...

This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face image is represented as four components with overlap at the neighboring area rather than a whole face patch. Firstly, LDA is conducted on the principal components of each component individually to extract component dis...

With an increasing number of security threats in recent years, the field automatic facial recognition has seen many new developments. The introduction face algorithms focuses on accuracy rate system. This paper introduces a system using Independent Component Analysis (lCA) for feature extraction and Support Vector Neural Network (SVNN) classification. As well as introducing comparison between S...