COMPARISON ALGORITHM BASED ON IMAGE STRUCTURE IN PERSONAL RECOGNITION

dc.contributor.authorMahkamov Anvarjon Abdujabborovich
dc.contributor.authorJumayev Turdali Saminjonovich
dc.date.accessioned2025-12-29T11:30:56Z
dc.date.issued2025-12-27
dc.description.abstractThis 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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dc.identifier.urihttps://americanjournal.org/index.php/ajtas/article/view/3283
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/17272
dc.language.isoeng
dc.publisherAmerican Journals Publishing
dc.relationhttps://americanjournal.org/index.php/ajtas/article/view/3283/3132
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceAmerican Journal of Technology and Applied Sciences; Vol. 43 (2025); 100-103
dc.source2832-1766
dc.subjectImage, class, object, identification feature detection algorithm, contour line separation, training sample, training, classification, quality functional.
dc.titleCOMPARISON ALGORITHM BASED ON IMAGE STRUCTURE IN PERSONAL RECOGNITION
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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