Ecole d'ingénieur et centre de recherche en Sciences du numérique

Countermeasure for the protection of face recognition systems against mask attacks

Kose, Neslihan; Dugelay, Jean-Luc

FG 2013, 10th IEEE International Conference on Automatic Face and Gesture Recognition, 22-26 April 2013, Shanghai, China

Best Student Paper Honorable Mention Award

There are several types of spoofing attacks to face recognition systems such as photograph, video or mask attacks. Recent studies show that face recognition systems are vulnerable to these attacks. In this paper, a countermeasure technique is proposed to protect face recognition systems against mask attacks. To the best of our knowledge, this is the first time a countermeasure is proposed to detect mask attacks. The reason for this delay is mainly due to the unavailability of public mask attacks databases. In this study, a 2D+3D face mask attacks database is used which is prepared for a research project in which the authors are all involved. The performance of the countermeasure is evaluated on both the texture images and the depth maps, separately. The results show that the proposed countermeasure gives satisfactory results using both the texture images and the depth maps. The performance of the countermeasure is observed to be slight better when the technique is applied on texture images instead of depth maps, which proves that face texture provides more information than 3D face shape characteristics using the proposed approach.

Document Doi Bibtex

Titre:Countermeasure for the protection of face recognition systems against mask attacks
Mots Clés:face spoofing; mask attacks; countermeasure
Type:Conférence
Langue:English
Ville:Shanghai
Pays:CHINE
Date:
Département:Sécurité numérique
Eurecom ref:3931
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Bibtex: @inproceedings{EURECOM+3931, doi = {http://dx.doi.org/10.1109/FG.2013.6553761}, year = {2013}, title = {{C}ountermeasure for the protection of face recognition systems against mask attacks}, author = {{K}ose, {N}eslihan and {D}ugelay, {J}ean-{L}uc}, booktitle = {{FG} 2013, 10th {IEEE} {I}nternational {C}onference on {A}utomatic {F}ace and {G}esture {R}ecognition, 22-26 {A}pril 2013, {S}hanghai, {C}hina}, address = {{S}hanghai, {CHINE}}, month = {04}, url = {http://www.eurecom.fr/publication/3931} }
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