Skip to main content
Have a personal or library account? Click to login
Presentation Attack Detection through Fingerprint Biometric using Leveraged Hard Voting Method Cover

Presentation Attack Detection through Fingerprint Biometric using Leveraged Hard Voting Method

Open Access
|Jul 2026

References

  1. Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang and Linlin Shen. Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising. arXiv: 2111.07620v1, cs.CV, 15 Nov 2021.
  2. Rohit Kumar Dubey, Jonathan Goh and Vrizlynn L. L. Thing. Fingerprint Liveness Detection from Single Image using Low Level Features and Shape Ananlysis. IEEE Transactions on Information Forensics and Security, 2016. DOI: 10.1109/TIFS.2016.2535899.
  3. Richard Plesh, Keivan Bahmani, and Ganghee jang. Fingerprint Presentation Attack Detection utilizing Time-series, Color fingerprint captures, 2019. IEEE Xplore DOI: 978-7281-3640-0/19.
  4. S. Schuckers. Presentations and attacks, and spoofs, oh my. Image and Vision Computing, 55:26–30, Nov. 2016.
  5. K. Adair Nixon, V. Aimale, and R. Rowe. Spoof Detection Schemes. pages 403–423. Oct. 2007.
  6. A. Antonelli, R. Cappelli, Dario Maio, and Davide Maltoni, “A new approach to fake finger detection based on skin distortion,” in Proceedings of the 2006 International Conference on Advances in Biometrics, Berlin, Heidelberg, 2006, ICB’06, pp. 221–228, Springer-Verlag.
  7. A.K. Jain, “Next generation biometrics,” in Department of Computer Science & Engineering, Michigan State University, Department of Brain & Cognitive Engineering, Korea University, 10 Dec 2009.
  8. Reza Derakhshani, Stephanie A.C. Schuckers, Larry A. Hornak, and Lawrence O’Gorman, “Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners,” Pattern Recognition, vol. 36, no. 2, pp. 383–396, 2003, Biometrics.
  9. S.T.V. Parthasaradhi, R. Derakhshani, L.A. Hornak, and S. A. C. Schuckers, “Time-series detection of perspiration as a liveness test in fingerprint devices,” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 35, no. 3, pp. 335–343, Aug 2005.
  10. T. Chugh, K. Cao, and A. K. Jain, “Fingerprint spoof buster: Use of minutiae-centered patches,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 9, pp. 2190–2202, 2018.
  11. Maio D. Jain, A.K. Prabhakar, S. Maltoni, D., “Handbook of fingerprint recognition,” in Springer Professional Computing 2nd ed. 2009, p 496
  12. I. Goicoechea-Telleria, B. Fernandez-Saavedra, and R. Sanchez-Reillo, “An evaluation of presentation attack detection of fingerprint biometric systems applying iso/iec 30107-3,” in International Biometric Performance Testing Conference, 2016.
  13. L. Ghiani, D. Yambay, V. Mura, S. Tocco, G.L. Marcialis, F. Roli, and S. Schuckcrs, “Livdet 2013 fingerprint liveness detection competition 2013,” in Biometrics (ICB), 2013 International Conference on, June 2013, pp. 1–6.
  14. L. Ghiani, V. Mura G. L. Marcialis, F. Roli, D. A. Yambay, and S. A. Schuckers, “Livdet 2015 fingerprint liveness detection competition 2015,” in 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2015, pp. 1–6.
  15. E. Marasco and A. Ross, “A survey on anti-spoofing schemes for fingerprint recognition systems,” ACM Computing Surveys (CSUR), vol. 47, no. 2, pp. 1–36, 2014.
  16. C. D. Robison and M. S. Andrews, “System and method of fingerprint anti-spoofing protection using multi-spectral optical sensor array,” Mar. 26 2019, US Patent 10,242,245.
  17. K. A. Nixon, R. K. Rowe, J. Allen, S. Corcoran, L. Fang, D. Gabel, D. Gonzales, R. Harbour, S. Love, R. McCaskill et al., “Novel spectroscopy-based technology for biometric and liveness verification,” in Biometric Technology for Human Identification, vol. 5404. International Society for Optics and Photonics, 2004, pp. 287–295.
  18. P. V. Reddy, A. Kumar, S. Rahman, and T. S. Mundra, “A new anti-spoofing approach for biometric devices,” IEEE transactions on biomedical circuits and systems, vol. 2, no. 4, pp. 328–337, 2008.
  19. S. Schuckers and P. Johnson, “Fingerprint pore analysis for liveness detection,” Nov. 14 2017, US Patent 9,818,020.
  20. Jia Jia, Lianhong Cai, Kaifu Zhang, and Dawei Chen, “A new approach to fake finger detection based on skin elasticity analysis,” in Advances in Biometrics, Seong-Whan Lee and Stan Z. Li, Eds., vol. 4642 of Lecture Notes in Computer Science, pp. 309–318. Springer Berlin Heidelberg, 2007.
  21. A. Antonelli, R. Cappelli, D. Maio, and D. Maltoni. Fake finger detection by skin distortion analysis. IEEE Transactions on Information Forensics and Security, 1(3):360–373, Sept. 2006.
  22. Z. Xia, C. Yuan, R. Lv, X. Sun, N. N. Xiong, and Y.-Q. Shi, “A novel weber local binary descriptor for fingerprint liveness detection,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 4, pp. 1526–1536, 2018.
  23. R. F. Nogueira, R. de Alencar Lotufo, and R. C. Machado, “Fingerprint liveness detection using convolutional neural networks,” IEEE transactions on information forensics and security, vol. 11, no. 6, pp. 1206–1213, 2016
  24. V. Mura, L. Ghiani, G. L. Marcialis, F. Roli, D. A. Yambay, and S. A. Schuckers, “Livdet 2015 fingerprint liveness detection competition 2015,” in 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2015, pp. 1–6.
  25. D. Menotti, G. Chiachia, A. Pinto, W. R. Schwartz, H. Pedrini, A. X. Falcao, and A. Rocha, “Deep representations for iris, face, and fingerprint spoofing detection,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 4, pp. 864–879, 2015.
  26. Denis Baldisserra, Annalisa Franco, Dario Maio, and Davide Maltoni, “Fake fingerprint detection by odor analysis,” in Advances in Biometrics, David Zhang and Anil K. Jain, Eds., vol. 3832 of Lecture Notes in Computer Science, pp. 265–272. Springer Berlin Heidelberg, 2005.
  27. Stephanie A. C. Schuckers, Stephanie A. C. Schuckers, Ph. D, and Ph. D, “Spoofing and anti-spoofing measures,” Information Security Technical Report, vol. 7, pp. 56–62, 2002.
  28. Yangyang Zhang, Jie Tian, Xinjian Chen, Xin Yang, and Peng Shi, “Fake finger detection based on thin-plate spline distortion model,” in Advances in Biometrics, Seong-Whan Lee and Stan Z. Li, Eds., vol. 4642 of Lecture Notes in Computer Science, pp. 742–749. Springer Berlin Heidelberg, 2007.
  29. Shankar Bhausaheb Nikam and Suneeta Agarwal, “Ridgelet-based fake fingerprint detection,” Neurocomput., vol. 72, no. 10–12, pp. 2491–2506, June 2009.
  30. Heeseung Choi, Raechoong Kang, Kyoungtaek Choi, Andrew Teoh Beng Jin, and Jaihie Kim, “Fake-fingerprint detection using multiple static features,” Optical Engineering, vol. 48, no. 4, pp. 047202–047202–13, 2009.
  31. S.B. Nikam and S. Agarwal, “Texture and wavelet-based spoof fingerprint detection for fingerprint biometric systems,” in Emerging Trends in Engineering and Technology, ICETET ’08. First International Conference on, July 2008, pp. 675–680
  32. Y.S. Moon, J.S. Chen, K. C. Chan, K. So, and K. C. Woo, “Wavelet based fingerprint liveness detection,” Electronics Letters, vol. 41, no. 20, pp. 1112–1113, Sept 2005.
  33. A. Abhyankar and S. Schuckers, “Fingerprint liveness detection using local ridge frequencies and multiresolution texture analysis techniques,” in Image Processing, IEEE International Conference on, Oct 2006, pp. 321–324.
  34. Hyunsuk Lee, Hyunju Maeng, and Yousuk Bae, “Fake finger detection using the fractional fourier transform,” in Biometric ID Management and Multimodal Communication, Julian Fierrez, Javier Ortega-Garcia, Anna Esposito, Andrzej Drygajlo, and Marcos Faundez-Zanuy, Eds., vol. 5707 of Lecture Notes in Computer Science, pp. 318–324. Springer Berlin Heidelberg, 2009.
  35. N. Manivanan, S. Memon, and W. Balachandran, “Automatic detection of active sweat pores of fingerprint using highpass and correlation filtering,” Electronics Letters, vol. 46, no. 18, pp. 1268–1269, September 2010.
  36. M. Espinoza and C. Champod, “Using the number of pores on fingerprint images to detect spoofing attacks” in Hand-Based Biometrics (ICHB), 2011 International Conference on, Nov 2011, pp. 1–5.
  37. Heeseung Choi, Raechoong Kang, Kyungtaek Choi, and Jaihie Kim, “Aliveness detection of fingerprints using multiple static features,” 2007.
  38. Luca Ghiani, Paolo Denti, and GianLuca Marcialis, “Experimental results on fingerprint liveness detection,” in Articulated Motion and Deformable Objects, Francisco J. Perales, Robert B. Fisher, and Thomas B. Moeslund, Eds., vol. 7378 of Lecture Notes in Computer Science, pp. 210–218. Springer Berlin Heidelberg, 2012.
  39. J. Jia, L. Cai, K. Zhang, and D. Chen, “A new approach to fake finger detection based on skin elasticity analysis,” in International Conference on Biometrics. Springer, 2007, pp. 309–318.
  40. Emanuela Marasco and Carlo Sansone, “Combining perspiration- and morphology-based static features for fingerprint liveness detection,” Pattern Recogn. Lett., vol. 33, no. 9, pp. 1148–1156, July 2012.
  41. T. Chugh and A. K. Jain, “Fingerprint spoof detector generalization,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 42–55, 2020.
  42. H. Liu, W. Zhang, F. Liu, H. Wu, and L. Shen, “Fingerprint presentation attack detector using global-local model,” IEEE Transactions on Cybernetics, 2021.
  43. R. R. Selvaraju, M. Cogswell, A. Das, R. Vedantam, D. Parikh, and D. Batra, “Grad-cam: Visual explanations from deep networks via gradient-based localization,” in Proceedings of the IEEE international conference on computer vision, 2017, pp. 618–626.
  44. Arisandi et al. “Invisible Scout: A Layer 2 Anomaly System for Detecting Rogue Access Point (RAP),” Emerging Science Journal, Volume 9, Issue 1, in 2025.
  45. Aljabri et al. “IoT Attacks Detection Using Supervised Machine Learning Techniques”. HighTech and Innovation Journal. Volume 5, Issue 3, in 2024.
  46. Yaro et al. “Improved Fingerprint-Based Localization Based on Sequential Hybridization of Clustering Algorithms”. Emerging Science Journal. Volume 8, Issue 2, in 2024.
Language: English
Submitted on: Aug 22, 2025
Published on: Jul 13, 2026
Published by: International Journal on Smart Sensing and Intelligent Systems
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Dharmendra Kaushik, Alok Kumar Singh Kushwaha, Vinay Kumar, published by International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.