Improved Face Recognition Rate based on PCA and LDA using Image Processing Techniques

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/9375

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DC Field	Value	Language
dc.contributor.author	Gupta, Karunesh Kumar	-
dc.date.accessioned	2023-02-28T07:19:02Z	-
dc.date.available	2023-02-28T07:19:02Z	-
dc.date.issued	2015-08	-
dc.identifier.uri	https://engineeringjournals.stmjournals.in/index.php/JoITI	-
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9375	-
dc.description.abstract	Contrary to the other existing biometric technologies such as iris, hand geometry, fingerprint, voice, retinal, it is non-intrusive and can be used even without knowledge of the subject [3]. FR focuses on image processing and pattern recognition because of their wide range of applications, such as smart cards, criminal investigation, social network and access control [4]. Though FR has been considered for several years, it is still a challenging task due to the various types of large face variations, e.g., pose, expressions, illuminations, corruption, occlusion and disguises	en_US
dc.language.iso	en	en_US
dc.publisher	JoITI	en_US
dc.subject	EEE	en_US
dc.subject	Face recognition	en_US
dc.subject	PCA	en_US
dc.subject	LDA	en_US
dc.subject	Image processing	en_US
dc.title	Improved Face Recognition Rate based on PCA and LDA using Image Processing Techniques	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Electrical and Electronics Engineering

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