Face liveness detection based on texture and frequency analyses

Gahyun Kim, Sungmin Eum, Jae Kyu Suhr, Dong Ik Kim, Kang Ryoung Park, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

101 Scopus citations

Abstract

This paper proposes a single image-based face liveness detection method for discriminating 2-D paper masks from the live faces. Still images taken from live faces and 2-D paper masks were found to bear the differences in terms of shape and detailedness. In order to effectively employ such differences, we exploit frequency and texture information by using power spectrum and Local Binary Pattern (LBP), respectively. In the experiments, three liveness detectors utilizing the power spectrum, LBP, and fusion of the two were trained and tested with two databases which consist of images taken from live and four types of 2-D paper masks. One database was acquired from a web camera while the other was from the camera on the automated teller machine. Experimental results show that the proposed methods can efficiently classify 2-D paper masks and live faces.

Original languageEnglish
Title of host publicationProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012
Pages67-72
Number of pages6
DOIs
StatePublished - 2012
Event2012 5th IAPR International Conference on Biometrics, ICB 2012 - New Delhi, India
Duration: 29 Mar 20121 Apr 2012

Publication series

NameProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012

Conference

Conference2012 5th IAPR International Conference on Biometrics, ICB 2012
Country/TerritoryIndia
CityNew Delhi
Period29/03/121/04/12

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