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Face recognition using discrete cosine transform plus linear discriminant analysis

Hajiarbabi, M, Askari, J, Sadri, S and Saraee, M 2007, Face recognition using discrete cosine transform plus linear discriminant analysis , in: The World Congress on Engineering (WCE 2007), London, U.K., 2-4 July, 2007., 2-4 July, 2007, London, U.K.

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Abstract

Face recognition is a biometric identification methodwhich among the other methods such as, finger printidentification, speech recognition, signature and hand writtenrecognition has assigned a special place to itself. In principle, thebiometric identification methods include a wide range of sciencessuch as machine vision, image processing, pattern recognitionneural networks and has various applications in film processing,control access networks and etc. There are several methods forrecognition and appearance based methods is one of them. One of the most important algorithms in appearance based methods islinear discriminant analysis (LDA) method. One of the drawbacksfor LDA in face recognition is the small sample size (SSS) problemso it is suggested to first reduce the dimension of the space usingmethods among which, principal component analysis (PCA) is themost popular one. In this paper we show that there exist strongermethods such as discrete cosine transform (DCT).

Item Type: Conference or Workshop Item (Paper)
Themes: Health and Wellbeing
Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Journal or Publication Title: Proceedings of the World Congress on Engineering (WCE 2007), London, U.K., 2-4 July, 2007.
Publisher: WCE
Refereed: Yes
Depositing User: Dr Mo Saraee
Date Deposited: 03 Nov 2011 16:00
Last Modified: 20 Aug 2013 18:17
URI: http://usir.salford.ac.uk/id/eprint/18848

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