Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CCIS.2012.6664600 | Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 |
Keywords | DocType | Volume |
automated juvenile detection,facial appearance,face recognition,lbp,age estimation,juvenile detection,svm,support vector machine,web sites,internet,local binary patterns,support vector machines,juvenile protection | Conference | 3 |
Issue | ISSN | ISBN |
null | null | 978-1-4673-1855-6 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianmei Wang | 1 | 3 | 3.09 |
| Yuyu Liang | 2 | 3 | 1.40 |
| Siyi Zheng | 3 | 5 | 1.80 |
| xie | 4 | 106 | 36.98 |