Title :
Study of Finite Radon Transform in Face Recognition
Author :
Zhang Yuhua ; Wang Xin
Author_Institution :
Sch. of Med., Shandong Univ., Jinan, China
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);
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
DOI :
10.1109/ICCMS.2010.35
