Title :
Using learning classifier to recognize face image
Author_Institution :
Inst. of Comput. & Commun. Eng., China Univ. of Pet., Dongying, China
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;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486694
