DocumentCode
518633
Title
Using learning classifier to recognize face image
Author
Yu, Hui
Author_Institution
Inst. of Comput. & Commun. Eng., China Univ. of Pet., Dongying, China
Volume
2
fYear
2010
fDate
27-29 March 2010
Firstpage
523
Lastpage
526
Abstract
This paper proposed how to recognize face image using learning classifier. The main idea of SVM is to give an optimal hyper-plane for two categories classification issues. The max value of k decision functions is used to decide sample data x belong to which class. Experimental result shows that the proposed face recognition algorithm is effective.
Keywords
face recognition; image classification; learning (artificial intelligence); support vector machines; SVM; decision functions; face image recognition; learning classifier; support vector machine; Face detection; Face recognition; Facial features; Hidden Markov models; Humans; Image recognition; Principal component analysis; Support vector machine classification; Support vector machines; Videos; face image recognition; learning classifier; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486694
Filename
5486694
Link To Document