The information content of the Fourier coefficients in the authentication by the iris of the eye
DOI:
https://doi.org/10.18372/2410-7840.19.11377Keywords:
authentication, iris, biometric identification, Gabor filter, Fourier transformation, Fourier coefficientsAbstract
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.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
Issue
Section
License
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).