Face Liveness Detection Under Bad Illumination Conditions

Spoofing face recognition systems with photos or videos of someone else is not difficult. Sometimes, all one needs is to display a picture on a laptop monitor or a printed photograph to the biometric system. In order to detect this kind of spoofs, in this paper we present a solution that works either with printed or LCD displayed photographs, even under bad illumination conditions without extra-devices or user involvement. Tests conducted on large databases show good improvements of classification accuracy as well as true positive and false positive rates compared to the state-of-the-art. © 2011 IEEE.35573560IEEE,IEEE Signal Processing SocietyNixon, K., Aimale, V., Rowe, R., Spoof detection schemes (2008) Handbook of Biometrics, , Springer USTan, X., Li, Y., Liu, J., Jiang, L., Face liveness detection from a single image with sparse low rank bilinear discriminative model (2010) ECCVLi, J., Wang, Y., Tan, T., Jain, A.K., Live face detection based on the analysis of fourier spectra (2004) Biometric Technology for Human Identification, pp. 296-303Pan, G., Wu, Z., Sun, L., (2008) Recent Advances in Face Recognition, Chapter Liveness Detection for Face Recognition, pp. 235-252. , InTechKollreider, K., Fronthaler, H., Bigun, J., Non-intrusive liveness detection by face images (2009) Image Vision Comput., pp. 233-244. , FebruaryParziale, G., Dittmann, J., Tistarelli, M., Analysis and evaluation of alternatives and advanced solutions for system elements (2005) BioSecureSocolinsky, D.A., Selinger, A., Neuheisel, J.D., Face recognition with visible and thermal infrared imagery (2003) CVIU, pp. 72-114. , JulyFladsrud, T., (2005) Face Recognition in A Border Control Environment: Non-zero Effort Attacks ' Effect on False Acceptance Rate, , Master thesis, Gjovik University College, NorwayTeoh, A., Goh, A., Ngo, A., Random multispace quantization as an analytic mechanism for biohashing of biometric and random identity inputs (2006) IEEE TPAMI, pp. 1892-1901Liu, J., Ji, S., Ye, J., (2009) SLEP: Sparse Learning with Eficient Projections, , http://www.public.asu.edu/~jye02/Software/SLEP, Available atZuiderveld, K., Contrast limited adaptive histograph equalization (1994) Graphic Gems, 4, pp. 474-485Georghiades, A.S., Belhumeur, P.N., Kriegman, D.J., From few to many: Illumination cone models for face recognition under variable lighting and pose (2001) IEEE TPAMI, pp. 643-66