Application of Statistical Data Processing for Solving the Problem of Face Recognition by Using Principal Components Analysis Method
Wai Yan Min, Ekaterina L. Romanova, Yuri P. Lisovec, Aung Myo San · 2019
The system of face detection and recognition in the photo and video streams have been considered in this paper. Firstly, we took a number of images of each person to create our own database by using webcam. In these images, Viola-Jones algorithm is used for faces detection and then these images have been standardized and obtained our own database. The programs are implemented for modelling face recognition experiments by using the principal component analysis (PCA) method in MATLAB software environment. In this article, the statistical data processing method is used to improve the efficiency of facial recognition by using the principal components analysis. As a result of these experiments, more accurate results were obtained and the comparison results of face recognition before and after using the statistical data processing method are shown in this article. Experiments with other databases have confirmed the efficiency of statistical data processing.