DocumentCode :
3688442
Title :
Spoofing face recognition
Author :
Y. Binny Reeba;R. Shanmugalakshmi
Author_Institution :
Department of CSE, Government college of Technology, Coimbatore
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Spoofing face recognition is the implementation of detecting facial masks. The algorithm used is Baseline face recognition algorithm, which is mainly based on the functions of face recognition and anti spoofing. The ISV method is used for the face recognition of 2D images by detecting the SURF feature of an image. To differentiate the real faces and mask, anti spoofing is performed by extracting the LBP feature. Finally based on the LBP histograms the features extracted are trained by SVM for feature classification to indicate whether the input will be accessed or not. The SVM classifier was selected because of its high accuracy. This work can be extended in future by detecting the surgically altered faces along with the face mask detection.
Keywords :
"Face","Face recognition","Feature extraction","Three-dimensional displays","Support vector machines","Databases","Skin"
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communication Systems, 2015 International Conference on
Type :
conf
DOI :
10.1109/ICACCS.2015.7324132
Filename :
7324132
Link To Document :
بازگشت