Extended Local Ternary Co -relation Pattern: A novel feature descriptor for face Anti -spoofing

被引:4
|
作者
Raghavendra, R. J. [1 ]
Kunte, R. Sanjeev [1 ]
机构
[1] JNNCE, Dept CS&E, Shimoga, Karnataka, India
关键词
BINARY PATTERNS; TEXTURE; RETRIEVAL; CLASSIFICATION;
D O I
10.1016/j.jisa.2020.102482
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we propose a novel approach for face anti-spoofing called extended local ternary co-relation pattern (ELTCP). The ELTCP encodes co-relation of ternary edges based on the centre pixel gray values with its immediate directional neighbour and its next immediate directional neighbour. The proposed method is robust against presentation attacks by extracting the spatial information in all the directions. Three Experiments were performed by using all the four texture descriptors (LBP, LTP, LGS and ELTCP) and the results are compared. The proposed face anti-spoofing method performs better than LBP, LTP and LGS. © 2020
引用
收藏
页数:10
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