Study of Finite Radon Transform in Face Recognition

Author

Zhang Yuhua ; Wang Xin

Author_Institution

Sch. of Med., Shandong Univ., Jinan, China

Volume

4

fYear

2010

Firstpage

29

Lastpage

32

Abstract

A novel feature extraction method based on finite Radon transform (FRAT), soft threshold (ST), and two dimensional maximum margin criterion (2DMMC) was proposed. The framework of the proposed method consists of three steps: First, each face image was projected into FRAT domain by FRAT; then ST was used to select main FRAT coefficients; finally, 2DMMC was used to extract features for face classification from the main FRAT coefficients. The experimental results on Yale and ORL face databases show that the proposed method is feasible and efficient.

Keywords

Radon transforms; face recognition; image classification; FRAT coefficients; ORL face databases; Yale face databases; face classification; face image; face recognition; feature extraction method; finite Radon transform; soft threshold; two dimensional maximum margin criterion; Biomedical imaging; Computational modeling; Computer simulation; Data mining; Face recognition; Feature extraction; Image databases; Linear discriminant analysis; Medical simulation; Principal component analysis; face recognition; finite Radon transforms (FRAT); soft threshold; two dimensional maximum margin criterion (2DMMC);

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4244-5642-0

Electronic_ISBN

978-1-4244-5643-7

Type

conf

DOI

10.1109/ICCMS.2010.35

Filename

5421525