COMPARISON ALGORITHM BASED ON IMAGE STRUCTURE IN PERSONAL RECOGNITION
Keywords:
Image, class, object, identification feature detection algorithm, contour line separation, training sample, training, classification, quality functional.Abstract
This article presents an approach to identifying the identification features of a person's image and comparing images based on this. By changing the values of the parameters of this algorithm aimed at identifying the identification features in the image, several training samples are formed. Based on the obtained training samples and the shape of the image, a comparison is made and the algorithm is evaluated.
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2025-12-27
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
COMPARISON ALGORITHM BASED ON IMAGE STRUCTURE IN PERSONAL RECOGNITION. (2025). American Journal of Technology and Applied Sciences, 43, 100-103. https://americanjournal.org/index.php/ajtas/article/view/3283





