Face spoof attacks, Histogram of gradients, Gabor filter
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.