The information content of the Fourier coefficients in the authentication by the iris of the eye

Authors

  • Валериян Анатольевич Швец National Aviation University
  • Андрей Алексеевич Фесенко T. G. Shevchenko National University
  • Владислав Алексеевич Фесенко National aviation University
  • Александр Валериянович Швец National aviation University
  • Валериан Валериянович Швец European University

DOI:

https://doi.org/10.18372/2410-7840.19.11377

Keywords:

authentication, iris, biometric identification, Gabor filter, Fourier transformation, Fourier coefficients

Abstract

Authentication of a person without a doubt is an actual problem, a practical solution which employs thousands and millions of people worldwide. Automation of this process is an important component of the development of modern society. The tasks of authentication and identification of the person now being done with automatic biometric systems, constituting one of the new areas of applied mathematics, biometrics identification. In the biometric authentication detection iris today recognized as the leader in accuracy and reliability among biometric characteristics. Analyzing the disadvantages of processing the iris of the eye the mathematics of Gabor. This paper proposes a new selection method of informative features from the image of the iris the Fourier transform. Distinguishing feature of different irises are encouraged to use the envelope of the Fourier coefficients. The results showed that the envelope of the Fourier coefficients quite informative and has pronounced maxima, the large variation in amplitude and has a clear distinction for images of iris of different people. The advantage of the envelope of the Fourier coefficients is that for its calculation uses only the space of Cartesian coordinates, which is natural for image processing. The envelope of the Fourier coefficients can be recommended for use in authentication by the iris of the eye.

Author Biographies

Валериян Анатольевич Швец, National Aviation University

PhD in Eng., Associate Professor of Academic Department information security, National Aviation University

Андрей Алексеевич Фесенко, T. G. Shevchenko National University

assistant of the Department of cybersecurity and information security National University T. G. Shevchenko

Владислав Алексеевич Фесенко, National aviation University

student National aviation University

Александр Валериянович Швец, National aviation University

student National aviation University

Валериан Валериянович Швец, European University

student, European University

References

Вельховер Е.С., Шульпина Н.Б., Алиева З.А., Ромашов Ф.Н. Иридодиа-гностика. – М.: Медицина, 1988. – 240 с.

Flom L., Safir A. Iris recognition system // United States Patent 4641349. Filed February 20, 1985.

Daugman J. High confidence visual recognition of persons by a test of statistical independence [Электронный ресурс] // IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 15, NO 11, NOVEMBER 1993. P. 1148 – 1160. Режим доступа: World Wide Web. – URL: http://www.cl.cam.ac.uk/~jgd1000/PAMI93.pdf

Bowyer K.W., Hollingsworth K., Flynn P.J. Image understanding for iris bi-ometrics: a survey // Computer Vision and Image Understanding. 2008. V.110. N.2. P.281-307.

Bowyer K.W., Hollingsworth K., Flynn P.J. A Survey of Iris Biometrics Re-search: 2008-2010, in Handbook of Iris Recognition, Mark Burge and Kevin W. Bowyer, editors, Springer, 2012.

Labati R.D., Genovese A., Piuri V., Scotti F. Iris segmentation: state of the art and innovative methods // Intelligent Systems Reference Library. 2012. V.37.P.151–182.

Daugman J. and Cathryn Downing Epigenetic randomness, complexity, and singularity of human iris patterns [Электронный ресурс] // Proceedings of the Royal Society, Biological Sciences, Р. 1737 - 1740. Режим доступа: World Wide Web. – URL: http://www.cl.cam.ac.uk/~jgd1000/roysoc.pdf

Daugman J. Biometric decision landscapes [Электронный ресурс] // Technical Report No. TR482, University of Cambridge Computer Laboratory Режим до-ступа: World Wide Web. – URL http://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-482.pdf

Daugman J. Demodulation by complex-valued wavelets for stochastic pattern recognition [Электронный ресурс] // Int'l Journal of Wavelets, Multi-resolution and Information Processing, 1(1), Р. 1-17. Режим доступа: World Wide Web. – URL: http://www.cl.cam.ac.uk/~jgd1000/patrec.pdf

Biometrics Ideal Test [Электронный ресурс] // Режим доступа: World Wide Web. – URL: biomet-rics.idealtest.org/findTotalDbByMode.do?mode=Iris

Швец В. А. Выделение характерных фрагментов на изображении лица человека [Текст] / В. А. Швец, В. В. Васянович, Т. В. Нимченко // Захист інформації. – 2015. – №4, Том 17. – С. 27 – 31.

Швец В. А. Исследование и разработка целочисленных квазигармонических базисов спектрального анализа в задачах обнаружения-измерения доплеровско-импульсных радиолокационных сигналов: Автореф… дис. канд. техн. наук. — Киев: КМУГА, 1996. — 20 с.

Downloads

Published

2017-03-27

How to Cite

Швец, В. А., Фесенко, А. А., Фесенко, В. А., Швец, А. В., & Швец, В. В. (2017). The information content of the Fourier coefficients in the authentication by the iris of the eye. Ukrainian Information Security Research Journal, 19(1), 33–42. https://doi.org/10.18372/2410-7840.19.11377

Issue

Vol. 19 No. 1 (2017)

Section

Articles

License

The scientific journal adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.

All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Copyright

Authors who publish their works in the journal:

  • retain the copyright to their publications;

  • grant the journal the right of first publication of the article;

  • agree to the distribution of their materials under the CC BY 4.0 license;

  • have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.