Development of an Optical Method for Analysis of the Structure of Biological Tissue in Order to Increase the Security of Dactyloscopic Identification Systems

Optical Memory and Neural Networks - Tập 30 - Trang 74-79 - 2021
A. A. Murashov1, P. K. Trubin1, E. N. Velichko1
1Higher School of Applied Physics and Space Technologies, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

Tóm tắt

This article describes the development of a method for improving the security of fingerprint identification systems. It is based on the calculation of the polarimetric parameters of biological tissue using Mueller matrices. This method was tested on samples made from gelatin, which have a copy of the papillary pattern and mimic real tissue. It is shown that the proposed method is promising for solving the problem of increasing the security of fingerprint sensors from breaking using finger models. In conclusion, recommendations are given for improving the polarimetric method.

Tài liệu tham khảo

Derakhshani, R., Sppof-proofing fingerprint systems using evolutionary time-delay neural networks, CIHSPS 2005, Proceedings of the 2005 IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety, 2005, Orlando, FL, 2005, pp. 98–104

Memon, S., Manivannan, N., Noor, A., Balachadran, W., and Boulgouris, N.V., Fingerprint sensors: Liveness detection issue and hardware based solutions, Sens. Transducers, 2012, vol. 136, no. 1, pp. 35–49.

Chatterjee, A., Bhatia, V., and Prakash, S., Anti-spoof touchless 3D fingerprint recognition system using single shot fringe projection and biospeckle analysis, Opt. Lasers Eng., 2017, vol. 95, pp. 1–7.

Baranov, M.A., Velichko, E.N., and Andryakov, A.A., Image processing for analysis of bio-liquid films, Opt. Mem. Neural Networks, 2020, vol. 29, no. 1.

Korobeynikov, A.G., Grishentsev, A.Y., Velichko, E.N., Korikov, C.C., Aleksanin, S.A., Fedosovskii, M.E., and Bondarenko, I.B., Calculation of regularization parameter in the problem of blur removal in digital image, Opt.l Mem. Neural Networks, 2016, vol. 25, no. 3, pp. 184–191.

Fadeenko, V.B., Davydov, V.V., Rud, V.Y., Glinushkin, A.P., and Shpunt, V.C., Photosensitive structures on the basis of magnetic semiconductors FeIn2S4, J. Phys.: Conf. Ser., 2017, vol. 917.

Wang, J.F., Zheng, W., Lin, K., and Huang, Z.W., Integrated Mueller-matrix near-infrared imaging and point-wise spectroscopy improves colonic cancer detection, Biomed. Opt. Express, 2016, vol. 7, pp. 1116–1126.

Privalov, V.E. and Shemanin V.G., On the choice of a radiation source for one of the problems of laser sensing, Opt. Spektrosk., 1997, vol. 82, no. 4, pp. 700–702.

Le, D.L., Huynh, T.N., Nguyen, D.T., Vo, T.V., and Pham, T., Characterization of healthy and nonmelanoma-induced mouse utilizing the Stokes–Mueller decomposition, J. Biomed. Opt., 2018, vol. 23, no. 12.

Putintseva, M.V., Aksenov, E.T., Korikov, C.C., and Velichko, E.N., Non-invasive research of biological objects by the method of laser polarimetry, J. Phys.: Conf. Ser., 2018, vol. 1124.

Baranov, M.A., Alekseenko, A.P., and Velichko, E.N., Study of electric properties of self-assembled films of albumin during their dehydration, J. Phys.: Conf. Ser., 2018, vol. 1124.

Lu, S. and Chipman, R.A., Interpretation of Mueller matrices based on polar decomposition, J. Opt. Soc. Am. A, 1996, vol. 13, pp. 1106–1113.

Shibanov, Y.A., Beskin, G.M., Karpov, S.V., Plokhotnichenko, V.L., Zyuzin, D.A., Kholtygin, A.F., Sokolov, V.V., and Baryshev, Y.V., High time resolution multi-band photo-polarimetric observations of the binary millisecond redback pulsar J1023+0038 with the BTA, J. Phys.: Conf. Ser., 2017, vol. 932.

Bachinskiy, V.T., Perspectives of laser-polarimetric methods of biological tissue investigation in forensic medicine, Russ. J. Forensic Med., 2016, vol. 2, no. 3, pp. 4–8.

Dong, Y., He, H., and Sheng, W., A quantitative and non-contact technique to characterise microstructural variations of skin tissues during photo-damaging process based on Mueller matrix polarimetry, Sci. Rep., 2017, vol. 7, artic. no. 14 702.

Trubin, P.K. and Murashov, A.A., Detection of fake biotissue by polarimetric method using Mueller matrices, J. Phys.: Conf. Ser., 2019, vol. 1326.

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Optical Memory and Neural Networks

Tập 30

74-79

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