DEVELOPING A FACIAL ANALYSIS ALGORITHM IN MATLAB: TECHNIQUES AND APPROACHES

dc.contributor.authorFazliddinov Ibrohim Odiljon o‘g‘li
dc.date.accessioned2025-12-29T14:26:20Z
dc.date.issued2025-03-06
dc.description.abstractFacial analysis has emerged as a cornerstone in fields ranging from security and healthcare to entertainment and social interaction. This article delves into the development of a robust facial analysis algorithm using MATLAB, a powerful tool for numerical computing and image processing. By combining theoretical insights with practical examples, it explores essential techniques such as face detection, feature extraction, and image enhancement. Readers will also discover innovative approaches leveraging MATLAB’s Computer Vision Toolbox and machine learning capabilities to create applications that recognize, analyze, and even "admire" human faces.
dc.formatapplication/pdf
dc.identifier.urihttps://webofjournals.com/index.php/1/article/view/3469
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/21830
dc.language.isoeng
dc.publisherWeb of Journals Publishing
dc.relationhttps://webofjournals.com/index.php/1/article/view/3469/3425
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWeb of Teachers: Inderscience Research ; Vol. 3 No. 3 (2025): WOT; 27-31
dc.source2938-379X
dc.subjectMATLAB facial analysis, face detection algorithm, Matlab Computer Vision Toolbox, techniques for face recognition, Matlab image analysis tools, advanced facial analysis methods.
dc.titleDEVELOPING A FACIAL ANALYSIS ALGORITHM IN MATLAB: TECHNIQUES AND APPROACHES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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