In the article a certain class of feature extractors for face recognition is presented. The
extraction is based on simple approaches: image scaling with pixel concatenation into a …

In this paper we investigate the effect of image resolution on the error rates of a face
verification system. We do not restrict ourselves to the face recognition algorithm only, but …

In the gargantuan domain of biometrics, the most prominent field is face recognition. We are
our faces, in a way we are not our social networking profiles, our legal names and Aadhaar …

Algorithms for projection of digital images into their eigensubspaces in the framework of
linear methods PCA, LDA, PLS and CCA are considered. The history of these methods …

Paper presents an efficient dimensionality reduction method for images (eg human faces
databases). It does not require any usual pre-processing stage (like down-scaling or …

In the paper we investigate a problem of face recognition in uncontrolled environment–
distorted by occlusion, shadows and other local modifications. Such problems are very …

This paper presents the implementation of the method of twodimensional Canonical
Correlation Analysis (CCA) and two-dimensional Partial Least Squares (PLS) applied to …

Principal component analysis (PCA) has various important applications, especially in pattern
detection, such as face detection and recognition. In real-time applications, the response …

Представлены алгоритмы двумерного анализа главных компонент (Two-dimensional
Principal Component Analysis-2D PCA), ориентированные на обработку цифровых …

Personal identication or verification is a very common requirement in modern society
specially to access restricted area or resources. Biometric identification specially faces …