Face recognition using PCA and LDA: Analysis and comparison

Author

Ravi, Siddarth ; Mankame, Dattatreya P. ; Nayeem, Sadique

Author_Institution

Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India

fYear

2013

fDate

20-21 Sept. 2013

Firstpage

6

Lastpage

16

Abstract

Computer recognition of the human faces has evolved as the most successful and demanding field in the computer science world and in particular Computer Vision. A lot of research work has been done in this field in the last two decade. Numerous algorithms have been projected and they have been experimented with different face image database available. In this paper, a comparative study has been carried out using the two basic and the most important appearance based face recognition methods viz, PCA and LDA. These two techniques for face recognition has been implemented and evaluated with different databases like UMIST, Yale etc. The outputs are compared by using accuracy rate.

Keywords

computer vision; face recognition; principal component analysis; LDA; PCA; UMIST database; Yale database; accuracy rate; computer vision; face image database; face recognition; linear discriminant analysis; principal component analysis; FERET; Face Recognition; LDA; ORL; PCA; Scatter Matrices;

fLanguage

English

Publisher

iet

Conference_Titel

Communication and Computing (ARTCom 2013), Fifth International Conference on Advances in Recent Technologies in

Conference_Location

Bangalore

Print_ISBN

978-1-84919-842-4

Type

conf

DOI

10.1049/cp.2013.2202

Filename

6842964