Sobel-LBP

Author

Zhao, Sanqiang ; Gao, Yongsheng ; Zhang, Baochang

Author_Institution

Sch. of Eng., Griffith Univ., Griffith, NSW

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

2144

Lastpage

2147

Abstract

This paper presents a new Sobel-LBP, an extension of existing local binary pattern (LBP), for facial image representation. The face image is filtered by Sobel operator to enhance the edge information. Sobel-LBP feature distributions are then extracted and concatenated into a spatial histogram to be used as a face descriptor. The proposed method is compared with the original LBP on both gray-level images and Gabor real and imaginary features for face recognition. The experimental results indicate that Sobel-LBP provides a significantly better performance than LBP under various conditions.

Keywords

face recognition; filtering theory; image representation; Sobel operator filtering; face descriptor; face recognition; facial image representation; gray-level images; local binary pattern; spatial histogram; Data mining; Face detection; Face recognition; Histograms; Image analysis; Image databases; Image texture analysis; Linear discriminant analysis; Pixel; Principal component analysis; Gabor feature; Image representation; Local Binary Pattern; Sobel-LBP; face recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4712212

Filename

4712212