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10.1109/AUTOID.2005.20guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Evaluating Liveness by Face Images and the Structure Tensor

Published: 17 October 2005 Publication History

Abstract

A technique evaluating liveness in short face image sequences is presented. The intended purpose of the proposed system is to assist in a biometric authentication framework, by adding liveness awareness in a non-intrusive manner. Analysing the trajectories of single parts of a live face reveal valuable information to discriminate it against a spoofed one. The proposed system uses a lightweight novel optical flow, which is especially applicable in face motion estimation based on the structure tensor and a few frames. It uses a model-based local Gabor decomposition and SVM experts for face part detection. An alternative approach for face part detection using optical flow pattern matching is introduced as well. Experimental results on the proposed system are presented.

Cited By

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  • (2023)Mitigating undesired interactions between liveness detection components in biometric authenticationProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3604992(1-8)Online publication date: 29-Aug-2023
  • (2020)Face Anti-Spoofing by Learning Polarization Cues in a Real-World ScenarioProceedings of the 4th International Conference on Advances in Image Processing10.1145/3441250.3441254(129-137)Online publication date: 13-Nov-2020
  • (2019)Face Liveness Detection by rPPG Features and Contextual Patch-Based CNNProceedings of the 2019 3rd International Conference on Biometric Engineering and Applications10.1145/3345336.3345345(61-68)Online publication date: 29-May-2019
  • Show More Cited By

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Published In

cover image Guide Proceedings
AUTOID '05: Proceedings of the Fourth IEEE Workshop on Automatic Identification Advanced Technologies
October 2005
247 pages
ISBN:0769524753

Publisher

IEEE Computer Society

United States

Publication History

Published: 17 October 2005

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Cited By

View all
  • (2023)Mitigating undesired interactions between liveness detection components in biometric authenticationProceedings of the 18th International Conference on Availability, Reliability and Security10.1145/3600160.3604992(1-8)Online publication date: 29-Aug-2023
  • (2020)Face Anti-Spoofing by Learning Polarization Cues in a Real-World ScenarioProceedings of the 4th International Conference on Advances in Image Processing10.1145/3441250.3441254(129-137)Online publication date: 13-Nov-2020
  • (2019)Face Liveness Detection by rPPG Features and Contextual Patch-Based CNNProceedings of the 2019 3rd International Conference on Biometric Engineering and Applications10.1145/3345336.3345345(61-68)Online publication date: 29-May-2019
  • (2018)Live face verification with multiple instantialized local homographic parameterizationProceedings of the 27th International Joint Conference on Artificial Intelligence10.5555/3304415.3304531(814-820)Online publication date: 13-Jul-2018
  • (2018)Gaze stability for liveness detectionPattern Analysis & Applications10.1007/s10044-016-0587-221:2(437-449)Online publication date: 1-May-2018
  • (2016)Spoofed Video Detection Using Histogram of Oriented GradientsProceedings of the Third International Symposium on Computer Vision and the Internet10.1145/2983402.2983408(1-7)Online publication date: 21-Sep-2016
  • (2013)A taxonomy of biometric system vulnerabilities and defencesInternational Journal of Biometrics10.1504/IJBM.2013.0529645:2(137-159)Online publication date: 1-Mar-2013
  • (2011)TIR/VIS correlation for liveness detection in face recognitionProceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II10.5555/2044575.2044590(114-121)Online publication date: 29-Aug-2011
  • (2010)Dynamic tongueprintPattern Recognition10.1016/j.patcog.2009.09.00243:3(1071-1082)Online publication date: 1-Mar-2010
  • (2009)Non-intrusive liveness detection by face imagesImage and Vision Computing10.1016/j.imavis.2007.05.00427:3(233-244)Online publication date: 1-Feb-2009
  • Show More Cited By

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