摘要：In this paper we propose a novel approach for face anti-spoofing calledExtended Division Directional Ternary Co-relation Pattern (EDDTCP). TheEDDTCP encodes co-relation of ternary edges based on the centre pixel gray valueswith its immediate directional neighbour and its next immediate average directionalneighbour, which is calculated by using the average of cornered neighbours withdirectional neighbours. The proposed method is robust against presentation attacksby extracting the spatial information in all directions. Three Experiments wereperformed by using all the four texture descriptors (LBP, LTP, LGS and EDDTCP)and the results are compared. The proposed face anti-spoofing method performsbetter than LBP, LTP and LGS.
