<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper we propose a novel approach for face anti-spoofing called Extended Division Directional Ternary Co-relation Pattern (EDDTCP). The EDDTCP encodes co-relation of ternary edges based on the centre pixel gray values with its immediate directional neighbour and its next immediate average directional neighbour, which is calculated by using the average of cornered neighbours with directional neighbours. The proposed method is robust against presentation attacks by extracting the spatial information in all directions. Three Experiments were performed by using all the four texture descriptors (LBP, LTP, LGS and EDDTCP) and the results are compared. The proposed face anti-spoofing method performs better than LBP, LTP and LGS.</p>
</abstract>

In this paper we propose a novel approach for face anti-spoofing called Extended Division Directional Ternary Co-relation Pattern (EDDTCP). The EDDTCP encodes co-relation of ternary edges based on the centre pixel gray values with its immediate directional neighbour and its next immediate average directional neighbour, which is calculated by using the average of cornered neighbours with directional neighbours. The proposed method is robust against presentation attacks by extracting the spatial information in all directions. Three Experiments were performed by using all the four texture descriptors (LBP, LTP, LGS and EDDTCP) and the results are compared. The proposed face anti-spoofing method performs better than LBP, LTP and LGS.

A Novel Feature Descriptor for Face Anti-Spoofing Using Texture Based Method

Department of Computer Science and Engineering

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"A Novel Feature Descriptor for Face Anti-Spoofing Using Texture Based Method"}

In this paper we propose a novel approach for face anti-spoofing called Extended Division Directional Ternary Co-relation Pattern (EDDTCP). The EDDTCP encodes...

A Novel Feature Descriptor for Face Anti-Spoofing Using Texture Based Method

Online veröffentlicht: 13. Sept. 2020

Seitenbereich: 159 - 176

Eingereicht: 05. Jan. 2020

Akzeptiert: 07. Aug. 2020

DOI: https://doi.org/10.2478/cait-2020-0035

Schlüsselwörter
Face Anti-spoofing, Extended Division Directional Ternary Co-relation Pattern (EDDCP), Texture analysis, Replay-Attack

© 2020 R. J. Raghavendra et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Novel Feature Descriptor for Face Anti-Spoofing Using Texture Based Method

Online veröffentlicht: 13. Sept. 2020

Seitenbereich: 159 - 176

Eingereicht: 05. Jan. 2020

Akzeptiert: 07. Aug. 2020

DOI: https://doi.org/10.2478/cait-2020-0035

SchlüsselwörterFace Anti-spoofing, Extended Division Directional Ternary Co-relation Pattern (EDDCP), Texture analysis, Replay-Attack

© 2020 R. J. Raghavendra et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Face Anti-spoofing, Extended Division Directional Ternary Co-relation Pattern (EDDCP), Texture analysis, Replay-Attack