Face recognition using discrete cosine transform plus linear discriminant analysis

Hajiarbabi, M; Askari, J; Sadri, S; Saraee, MH

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).

Citation

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

• Presentation Conference Type: Other
• Conference Name: The World Congress on Engineering (WCE 2007), London, U.K., 2-4 July, 2007.
• Conference Location: London, U.K
• Start Date: Jul 2, 2007
• End Date: Jul 4, 2007
• Publication Date: Jan 1, 2007
• Deposit Date: Nov 3, 2011
• Publisher URL: http://www.scribd.com/doc/52088762/10-1-1-149-3354
• Additional Information: Event Type : Conference