Importance of eyes and eyebrows for face recognition system

Author

Radji, Nadjet ; Cherifi, Dalila ; Azrar, Arab

Author_Institution

Inst. of Electr. & Electron. Eng., Univ. of Boumerdes, Boumerdes, Algeria

fYear

2015

fDate

25-27 May 2015

Firstpage

1

Lastpage

6

Abstract

In this paper, we evaluate the effect of removing eyes or eyebrows from face image (no left eyebrow, no right eyebrow, no eyebrows, no left eye, no right eye, no eyes, no left eyebrow and no left eye, no right eyebrow and no right eye, no eyebrows and no eyes) on the performance of face recognition system based on Principal Component Analysis (PCA), Singular Value Decomposition (SVD), Discrete Wavelet Decomposition (DWT), Discrete Cosine Transform (DCT) and application of DWT prior SVD (DWT-SVD). The evaluation is carried on the FEI database using the Recognition Rate (RR) and Equal Error Rate (EER) criteria.

Keywords

discrete cosine transforms; discrete wavelet transforms; face recognition; principal component analysis; singular value decomposition; DCT; DWT-SVD; FEI database; PCA; discrete cosine transform; discrete wavelet decomposition; face recognition system; principal component analysis; singular value decomposition; Discrete cosine transforms; Discrete wavelet transforms; Eyebrows; Face; Face recognition; Principal component analysis; Training; DCT; DWT; DWT-SVD; Face Recognition; PCA; SVD; eyebrows; eyes;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on

Conference_Location

Tlemcen

Type

conf

DOI

10.1109/CEIT.2015.7233088

Filename

7233088