Title :
Face Recognition Algorithm Based on Transductive Learning Classifier
Author_Institution :
China north Opt.-Electr. Technol. co. Ltd., Beijing, China
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;
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
DOI :
10.1109/ICMTMA.2010.436
