Feature Extraction using DCT fusion based on facial symmetry for enhanced face recognition

Author

Prathik, P. ; Nafde, Rahul Ajay ; Manikantan, K. ; Ramachandran, S.

Author_Institution

Dept. of Electron. & Commun. Eng, M.S. Ramaiah Inst. of Tech., Bangalore, India

fYear

2012

fDate

19-20 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

Feature Extraction plays a very important role in Face Recognition technology. This paper proposes a novel Discrete Cosine Transform (DCT) fusion technique based on facial symmetry. Also proposed are DCT subset matrix selection based on aspect ratio of the image and pre-processing concepts, namely Local Histogram Equalization to remove illumination variation and Scale normalization using skin detection for colored images. The performance of proposed techniques is evaluated by computing the recognition rate and number of features selected for ORL, Extended Yale B and Color FERET databases.

Keywords

discrete cosine transforms; face recognition; feature extraction; image colour analysis; image fusion; lighting; matrix algebra; visual databases; DCT fusion technique; DCT subset matrix selection; ORL databases; aspect ratio; color FERET databases; colored images; discrete cosine transform fusion technique; enhanced face recognition technology; extended Yale B databases; facial symmetry; feature extraction; illumination variation; local histogram equalization; preprocessing concepts; scale normalization; skin detection; Databases; Discrete cosine transforms; Face recognition; Feature extraction; Histograms; Skin; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication, Information & Computing Technology (ICCICT), 2012 International Conference on

Conference_Location

Mumbai

Print_ISBN

978-1-4577-2077-2

Type

conf

DOI

10.1109/ICCICT.2012.6398158

Filename

6398158