Face Recognition Algorithm Based on Transductive Learning Classifier

Author

Zhao, Xiaochuan

Author_Institution

China north Opt.-Electr. Technol. co. Ltd., Beijing, China

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

212

Lastpage

215

Abstract

This paper proposed a new algorithm of face recognition based on transductive learning classifier. Transductive learning classifier is based on SVM, it used the user feedback information to mark a few face images beforehand, then it adopted the transductive learning classifier to identify and mark the massive unknown face images. Experimental result shows that the proposed face recognition algorithm is effective, false acceptance rate and false rejection rate is lower than PCA and LDA.

Keywords

face recognition; image classification; principal component analysis; support vector machines; LDA; PCA; SVM; face recognition algorithm; false acceptance rate; false rejection rate; transductive learning classifier; Clouds; Data mining; Face detection; Face recognition; Linear discriminant analysis; Optical feedback; Principal component analysis; Probes; Robustness; Testing; face recognition; region selection algorithm; transductive learning classifier;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.436

Filename

5459999