Studying a Face Search Method Based On the Idea of Sparse Data Representation by Generating Random Points

K.S. Maulenov, Saule Kudubayeva, A.A. Uvaliyeva

2021

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DOI 10.1109/sist50301.2021.9465986
Data confidence 70 medium
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Abstract

The article discusses a method for extracting features from digital images, based on the idea of a sparse representation of data by generating random points on images with a face.The article shows the connection of this method with the stochastic Monte Carlo algorithm. Experiments results on the selection of system parameters to increase recognition accuracy are reflected in the article.The conducted research can be used in the development of real recognition systems based on brightness values pixel values as features.