IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지
DOI QR코드

DOI QR Code

Smart Optical Fingerprint Sensor for Robust Fake Fingerprint Detection

  • Received : 2016.10.17
  • Accepted : 2017.02.23
  • Published : 2017.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, a smart optical fingerprint sensor technology that is robust against faked fingerprints. A new lens and prism accurately detect fingerprint ridges and valleys that are needed to express a fingerprint's intrinsic characteristics well. The proposed technology includes light path configuration and an optical fingerprint sensor that can effectively identify faked fingerprint features. Results of simulation show the smart optical fingerprint sensor classifies the characteristics of faked fingerprints made from silicone, gelatin, paper, and rubber, and show that the proposed technology has superior detection performance with faked fingerprints, compared to the existing infrared discrimination method.

Keywords

References

  1. Sarat C. Sousedik and C. Busch, "Presentation attack detection methods for fingerprint recognition systems: A survey", IET Biometrics, vol.2, no.1, pp.1-15, 2014. https://doi.org/10.1049/iet-bmt.2012.0056
  2. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: "Handbook of Fingerprint Recognition", Springer-Verlag, New York, 2003.
  3. S. -J. Kim, K. -H. Lee, S. -W. Han and E. Yoon, "A CMOS Fingerprint System-on-a-Chip With Adaptable Pixel Networks and Column-Parallel Processors for Image Enhancement and Recognition", Journal of Solid-state Circuit, vol. 43, no. 11, (2008), pp. 2558-2567, 2008. https://doi.org/10.1109/JSSC.2008.2005809
  4. S. S Kulkarni and H. Y Patil. Article: Survey on Fingerprint Spoofing, Detection Techniques and Databases. IJCA Proceedings on National Conference on Advances in Computing NCAC 2015(7):30-33, December 2015.
  5. A. Al-Ajlan, "Survey on fingerprint liveness detection", In International Workshop on Biometrics and Forensics, pp. 1-5, 2013.
  6. M. Tico, P. Kuosmanen, "A multiresolution method for singular points detection in fingerprint images", Proceedings of IEEE International Symposium on Circuits and Systems, vol. 4, p.183-186, 1999.
  7. J. Zhou, F.L Chen, J.W. Gu, "A novel algorithm for detecting singular points from fingerprint image", IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(7), p.1239-1250, 2009. https://doi.org/10.1109/TPAMI.2008.188
  8. J. Chang and K. Fan, "A new model for fingerprint classification by ridge distribution sequences", Pattern Recognition, 35:1209-1223, 2002. https://doi.org/10.1016/S0031-3203(01)00121-2
  9. S Yadav, M Mathuria, "Fingerprint Recognition based on Minutiae Information", International Journal of Computer Applications, vol.120, 2015.