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

1. Duc, N., B. Minh. Your Face is Not Your Password. – In: Proc. of Black Hat Conference, Vol. 1, 2009. Search in Google Scholar

2. Akhtar, Z., C. Micheloni, G. L. Foresti. Biometric Liveness Detection: Challenges and Research Opportunities. – Journal of Security & Privacy, IEEE, Vol. 13, 2015, No 5, pp. 63-72.10.1109/MSP.2015.116 Search in Google Scholar

3. Zhang, Z., J. Yan, S. Liu, Z. Lei, D. Yi, S. Z. Li. A Face Anti-Spoofing Database with Diverse Attacks. – In: Proc. of International Conference on Biometrics (ICB), IEEE, 2012, pp. 26-31.10.1109/ICB.2012.6199754 Search in Google Scholar

4. Manjani, I., S. Tariyal, M. Vatsa, R. Singh, A. Majumdar. Detecting Silicone Mask Based Presentation Attack via Deep Dictionary Learning. – IEEE Transactions on Information Forensics and Security, Vol. 12, 2017, No 7, pp. 1713-1723.10.1109/TIFS.2017.2676720 Search in Google Scholar

5. Cortes, C., V. N. Vapnik. Support-Vector Networks. – Journal of Machine Learning., Vol. 20, 1995, No 3, pp. 273-297.10.1007/BF00994018 Search in Google Scholar

6. Maatta, J., A. Hadid, M. Pietikainen. Face Spoofing Detection from Single Images Using Micro-Texture Analysis. – In: Proc. of International Joint Conference on Biometrics, 2011, pp. 1-7.10.1109/IJCB.2011.6117510 Search in Google Scholar

7. Parveen, S., S. M. S. Ahmad, N. H. Abbas, W. A. W. Adnan, M. F. Hanafi, N. Naeem. Face Liveness Detection Using Dynamic Local Ternary Pattern (DLTP). – Journal of Computers, Vol. 5, 2016, No 2, p. 10.10.3390/computers5020010 Search in Google Scholar

8. Kose, N., J. L. Dugelay. Reflectance Analysis Based Countermeasure Technique to Detect Face Mask Attacks. – In: Proc. of International Conference on Digital Signal Processing, IEEE, 2013, pp. 1-6.10.1109/ICDSP.2013.6622704 Search in Google Scholar

9. Zhang, Z., D. Yi, Z. Lei, S. Z. Li. Face Liveness Detection by Learning Multispectral Reflectance Distributions. – In: Proc. of International Conference on Automatic Face & Gesture Recognition and Workshops, IEEE, 2011, pp. 436-441.10.1109/FG.2011.5771438 Search in Google Scholar

10. Kim, Y., J. Na, S. Yoon, J. Yi. Masked Fake Face Detection Using Radiance Measurements. – Journal of Optical Society of America, Vol. 26, 2009, No 4, pp. 760-766.10.1364/JOSAA.26.000760 Search in Google Scholar

11. Tan, X., Y. Li, J. Liu, L. Jiang. Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model. – Journal of Computer Vision, 2010, pp. 504-517.10.1007/978-3-642-15567-3_37 Search in Google Scholar

12. Pan, G., L. Sun, Z. Wu, S. Lao. Eyeblink-Based Anti-Spoofing in Face Recognition from a Generic Webcamera. – In: Proc. of International Conference on Computer Vision, IEEE, 2007, pp. 1-8.10.1109/ICCV.2007.4409068 Search in Google Scholar

13. Pereira, T. de F., A. Anjos, J. M. de Martino, S. Marcel. LBP-TOP Based Countermeasure against Face Spoofing Attacks. – In: Proc. of Asian Conference on Computer Vision, Springer, 2012, pp. 121-132. Search in Google Scholar

14. Pereira, T. de F., A. Anjos, M. de Martino, S. Marcel. Can Face Anti-Spoofing Countermeasures Work in a Real World Scenario? – In: Proc. of International Conference on Biometrics IEEE, 2013, pp. 1-8. Search in Google Scholar

15. Komulainen, J., A. Hadid, M. Pietikainen. Context Based Face Antispoofing. – In: Proc. of International Conference on Biometrics: Theory, Applications and Systems, IEEE, 2013, pp. 1-8.10.1109/BTAS.2013.6712690 Search in Google Scholar

16. Yang, J., Z. Lei, S. Liao, S. Z. Li. Face Liveness Detection with Component Dependent Descriptor. – In: Proc. of International Conference on Biometrics, 2013, pp. 1-6.10.1109/ICB.2013.6612955 Search in Google Scholar

17. Bharadwaj, S., T. I. Dhamecha, M. Vatsa, R. Singh. Face Antispoofing via Motion Magnification and Multifeature Videolet Aggregation. – In: Proc. of International Conference on Pattern Recogiton, 2014. Search in Google Scholar

18. Galbally, J., S. Marcel. Face Anti-Spoofing Based on General Image Quality Assessment. – In: Proc. of International Conference on Pattern Recognition, IEEE, 2014, pp. 1173-1178.10.1109/ICPR.2014.211 Search in Google Scholar

19. Boulkenafet, Z., J. Komulainen, A. Hadid. Face Anti-Spoofing Based on Color Texture Analysis. – In: Proc. of International Conference on Image Processing, IEEE, 2015, pp. 2636-2640.10.1109/ICIP.2015.7351280 Search in Google Scholar

20. Patel, K., H. Han, A. K. Jain, G. Ott. Live Face Video vs. Spoof Face Video: Use of Moire Patterns to Detect Replay Video Attacks. – In: Proc. of International Conference of Biometrics, IEEE, 2015, pp. 98-105.10.1109/ICB.2015.7139082 Search in Google Scholar

21. Agarwal, A., R. Singh, M. Vatsa. Face Anti-Spoofing Using Haralick Features. – In: Proc. of International Conference on Biometrics Theory, Applications and Systems, IEEE, 2016, pp. 1-6.10.1109/BTAS.2016.7791171 Search in Google Scholar

22. Feng, L., L.-M. Po, Y. Li, X. Xu, F. Yuan, T. C.-H. Cheung, K.-W. Cheung. Integration of Image Quality and Motion Cues for Face Antispoofing: A Neural Network Approach. – Journal of Visual Communication and Image Representation, Vol. 38, 2016, pp. 451-460.10.1016/j.jvcir.2016.03.019 Search in Google Scholar

23. Venkatesh, B., J. Anuradha. A Review of Feature Selection and Its Methods. – Cybernetics and Information Technologies, Vol. 19, 2019, No 1, pp. 3-26.10.2478/cait-2019-0001 Search in Google Scholar

24. Lucena, O., A. Junior, V. Moia, R. Souza, E. Valle, R. Lotufo. Transfer Learning Using Convolutional Neural Networks for Face Antispoofing. – In: Book of Image Analysis and Recognition. Springer, 2017, pp. 27-34.10.1007/978-3-319-59876-5_4 Search in Google Scholar

25. Ojala, T., M. Pietikainen, D. Harwood. A Comparative Study of Texture Measures with Classification Based on Feature Distributions. – Journal of Pattern Recognition, Vol. 29, 1996, No 1, pp. 51-59.10.1016/0031-3203(95)00067-4 Search in Google Scholar

26. Tan, X., B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions. – IEEE Transactions on Image Processing, Vol. 19, 2010, No 6, pp. 1635-1650.10.1109/TIP.2010.204264520172829 Search in Google Scholar

27. Eimad, E. A. A., H. K. Bashir. Face Recognition Using Local Graph Structures. – In: Proc. of International Conference on Human Computer Interaction, 2011, pp. 169-175.10.1007/978-3-642-21605-3_19 Search in Google Scholar

28. Yuan, J.-H., H.-D. Zhu, Y. Gan, L. Shang. Enhanced Local Ternary Pattern for Texture Classification. – In: Proc. of Springer International Publishing Switzerland, 2014, pp. 443-448.10.1007/978-3-319-09333-8_48 Search in Google Scholar

29. Kokare, M., P. K. Biswas, B. N. Chatterji. Texture Image Retrieval Using Rotated Wavelet Filters. – Journal of Pattern Recognition Letters, Vol. 28, 2007, pp. 1240-1249.10.1016/j.patrec.2007.02.006 Search in Google Scholar

30. Kokare, M., P. K. Biswas, B. N. Chatterji. Texture Image Retrieval Using New Rotated Complex Wavelet Filters. – IEEE Transactions on System, Man and Cybernetics, Vol. 33, 2005, No 6, pp. 1168-1178.10.1109/TSMCB.2005.850176 Search in Google Scholar

31. Md Rezwan, H., S. M. H. Mahmud, X. Y. Li. Face Anti-Spoofing Using Texture-Based Techniques and Filtering Methods. – Journal of Physics, Vol. 1229, 2019, pp. 1-9.10.1088/1742-6596/1229/1/012044 Search in Google Scholar

32. Kokare, M., P. K. Biswas, B. N. Chatterji. Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters. – IEEE Transactions on System, Man and Cybernetics, Vol. 36, 2006, No 6, pp. 1273-1282.10.1109/TSMCB.2006.87469217186804 Search in Google Scholar

33. Patel, K., H. Han, A. K. Jain. Secure Face Unlock: Spoof Detection on Smartphones. – In: Proc. of IEEE Transactions on Information Forensic and Security, 2016.10.1109/TIFS.2016.2578288 Search in Google Scholar

34. Li, J., Y. Wang, T. Tan, A. K. Jain. Live Face Detection Based on the Analysis of Fourier Spectra. – In: Proc. of the International Society for Optical Engineering, 2004, pp. 296-303.10.1117/12.541955 Search in Google Scholar

35. Chingovska, A. A., S. Marcel. On the Effectiveness of Local Binary Patterns in Face Anti-Spoofing. – In: Proc. of International Conference of the Biometrics Special Interest Group, 2012, pp. 1-7. Search in Google Scholar

36. Anjos, A., S. Marcel. Counter-Measures to Photo Attacks in Face Recognition: A Public Database and a Baseline. – In: Proc. of International Joint Conference on Biometrics, 2011, pp. 1-7.10.1109/IJCB.2011.6117503 Search in Google Scholar

37. Raghavendra, R. J., R. S. Kunte. Extended Local Ternary Co-Relation Pattern: A Novel Feature Descriptor for Face Anti-Spoofing. – Journal of Information Security and Applications, Elsevier, Vol. 52, 2020, pp. 1-10.10.1016/j.jisa.2020.102482 Search in Google Scholar

38. Raghavendra, R. J., R. S. Kunte. Extended Local Ternary Pattern for Face Anti-Spoofing. – In: Proc. of Lecture Notes on Electrical Engineering. Springer, 2020, pp. 221-229.10.1007/978-981-15-3125-5_24 Search in Google Scholar

39. Boulkenafet, Z., J. Komulainen, X. Feng. Scale-Space Texture Analysis for Face Anti-Spoofing. – In: Proc. of IEEE International Conference on Biometrics, 2016, pp. 1-6.10.1109/ICB.2016.7550078 Search in Google Scholar