Model Of Recognition Face Spoofing

dc.contributor.author	Khan Suliman.
dc.date.accessioned	2026-01-01T12:11:37Z
dc.date.issued	2023-11-11
dc.description.abstract	This article argues model of recognition face spoofing by methods of stream demonstration and Haar cascades. These methods created with comfort and rapidity, can be functional to any face spoofing on program Python, which we use with OpenCV to stream “Motion JPEG” through standard output.
dc.format	application/pdf
dc.identifier.uri	https://zienjournals.com/index.php/tjm/article/view/4701
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/63442
dc.language.iso	eng
dc.publisher	Zien Journals
dc.relation	https://zienjournals.com/index.php/tjm/article/view/4701/3874
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Texas Journal of Multidisciplinary Studies; Vol. 26 (2023): TJM; 54-56
dc.source	2770-0003
dc.subject	face spoofing
dc.subject	recognition
dc.subject	application
dc.title	Model Of Recognition Face Spoofing
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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