CSLDA and LDA fusion based face recognition

• Main Authors: Razzak, M. I., Khan, M. K., Alghathbar, K., Yusof, Rubiyah
• Format: Article
• Language: English
• Published: Wydawnictwo SIGMA - N O T Sp. z o.o. 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/28819/1/RubiyahYusof2011_CsldaandLdaFusionBasedFaceRecognition.pdf; http://eprints.utm.my/id/eprint/28819/; http://pe.org.pl/articles/2011/1/42.pdf

Face recognition has great demands and become one of the most important research area of pattern recognition but there are several issues involved in it. Unsupervised statistical methods i.e. PCA, LDA, ICA are the most popular algorithms in face recognition that finds the set of basis images and rep...