Face Spoof Detection Using Naive Bayes Classifier
Author(s):
Kanika kalihal, Jaspreet kaur
ISSN:
2349-6002
Cite This Article:
Face Spoof Detection Using Naive Bayes ClassifierInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 5 ,Issue 12 ,Page(s):673-677 ,May 2019 ,Available :IJIRT148215_PAPER.pdf
Keywords:
Face spoof attacks, Histogram of gradients, Gabor filter
Abstract
Face recognition systems are widely used in applications ranging from identification to authentication. Certain concerns however are raised along with their popularity such as face spoof attacks where an impostor could use the photo or video of the authorised user and get access to the facilities. This paper proposes a classification based face anti spoof detection technique using HOG and Gabor features. Images are input to the system and feature extraction techniques are implemented. Finally naive bayes classifier is used to classify images on faces 94 database and results are compared with state of art methods.
Article Details
Unique Paper ID: 148215

Publication Volume & Issue: Volume 5, Issue 12

Page(s): 673 - 677
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