Степан Белан - Academia.edu (original) (raw)
Степан Белан
Related Authors
Pontificia Universidad Catolica de Chile
Uploads
Papers by Степан Белан
The paper considers the method for identifying railway rolling stock based on the parallel shift ... more The paper considers the method for identifying railway rolling stock based on the parallel shift technology and Radon transformation using cellular automata. The main stages of the method are considered, which consist of: fixing a moving object, extracting an identifier image, removing noise, extracting characteristic features and comparing with a standard. To fix the rolling stock, the selection of pixels is used, which have changed their properties on adjacent frames, taking into account the sensitivity and speed of movement. The selected pixels are used to select a rectangular window containing a license plate. To remove noise in the selected image, the parallel shift technology and the Radon transform, implemented on cellular automata with a hexagonal covering, are used. The method is implemented for images subject to various distortions that affect the identification result.
Biometric Identification Technologies Based on Modern Data Mining Methods, 2020
The paper considers the method for identifying railway rolling stock based on the parallel shift ... more The paper considers the method for identifying railway rolling stock based on the parallel shift technology and Radon transformation using cellular automata. The main stages of the method are considered, which consist of: fixing a moving object, extracting an identifier image, removing noise, extracting characteristic features and comparing with a standard. To fix the rolling stock, the selection of pixels is used, which have changed their properties on adjacent frames, taking into account the sensitivity and speed of movement. The selected pixels are used to select a rectangular window containing a license plate. To remove noise in the selected image, the parallel shift technology and the Radon transform, implemented on cellular automata with a hexagonal covering, are used. The method is implemented for images subject to various distortions that affect the identification result.
Biometric Identification Technologies Based on Modern Data Mining Methods, 2020