Juvenile detection by LBP and SVM

Author

Xianmei Wang ; Yuyu Liang ; Siyi Zheng ; Zhiliang Wang

Author_Institution

Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2012

fDate

Oct. 30 2012-Nov. 1 2012

Firstpage

1324

Lastpage

1327

Abstract

At present, it is very urgent to protect the juniors from the negative influence of the internet. This paper aims at the automated Juvenile detection based on facial appearance as the gateway for the access of adult websites. To describe the facial appearance, local binary patterns (LBP) are applied to extract the local texture from three main facial regions including forehead, eye corner and cheek. Then we used support vector machine (SVM) to act as the classifier to identify one person is a juvenile or an adults. Experiments show that our solution is effective. The recognition rate is about 87% on the FG-NET database.

Keywords

Internet; Web sites; face recognition; support vector machines; Internet; LBP; SVM; Web sites; automated Juvenile detection; facial appearance; local binary patterns; support vector machine; Educational institutions; Estimation; Face recognition; Feature extraction; Forehead; Internet; Support vector machines; LBP; SVM; age estimation; juvenile detection; juvenile protection;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-1855-6

Type

conf

DOI

10.1109/CCIS.2012.6664600

Filename

6664600