Face recognition using Gabor filters, PCA and neural networks

Author

Slavkovic, Marijeta ; Reljin, Branimir ; Gavrovska, Ana ; Milivojevic, Milan

Author_Institution

Innovation Center of Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia

fYear

2013

fDate

7-9 July 2013

Firstpage

35

Lastpage

38

Abstract

This paper proposes a face recognition system based on Gabor image representation, principal component analysis and neural networks. Gabor filter bank at 5 scales and 8 orientations is used for face representation. The dimensionality of Gabor representation of face images is reduced by the Principal component analysis. The images are classified using the Feedforward neural network with backpropagation learning algorithm. The ORL database of faces is used for testing.

Keywords

Gabor filters; backpropagation; face recognition; feedforward neural nets; image classification; principal component analysis; visual databases; Gabor face image representation dimensionality; Gabor filter bank; ORL database; PCA; backpropagation learning algorithm; face recognition system; feedforward neural network; image classification; principal component analysis; testing; Decision support systems; FFNN; Gabor filters; PCA; backpropagation; face recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on

Conference_Location

Bucharest

ISSN

2157-8672

Print_ISBN

978-1-4799-0941-4

Type

conf

DOI

10.1109/IWSSIP.2013.6623443

Filename

6623443