DocumentCode
3075507
Title
Experimental Analysis of Classification of Facial Images
Author
Malkauthekar, M.D. ; Sapkal, S.D. ; Kakarwal, S.N.
Author_Institution
Marathwada Inst. of Technol., Aurangabad
fYear
2009
fDate
6-7 March 2009
Firstpage
1093
Lastpage
1098
Abstract
This paper proposes a face recognition method using the FERET face database. Facial images of two classes and three classes with different expressions and angles are used for classification. Fisher Discriminant Method is used for comparison of the results of two classes with the results of three classes. Euclidian distance method is used for similarity measure. The experimental results have been demonstrated that performance of Fisher Discriminant Analysis for three classes is same as the performance for two classes.
Keywords
face recognition; image classification; visual databases; Euclidian distance method; Fisher discriminant analysis; face recognition method; facial images classification; Biometrics; Data security; Educational institutions; Face recognition; Humans; Image analysis; Image databases; Light scattering; National security; Testing; Euclidean Distance; FERET Database; Fisher Discriminant Analysis; Image Classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location
Patiala
Print_ISBN
978-1-4244-2927-1
Electronic_ISBN
978-1-4244-2928-8
Type
conf
DOI
10.1109/IADCC.2009.4809166
Filename
4809166
Link To Document