Synthesis and recognition of artificial biometric images

Authors: Rychkov A.S.
Published in issue: #3(32)/2019
DOI: 10.18698/2541-8009-2019-3-451
Category: Informatics, Computer Engineering and Control | Chapter: Methods and Systems of Information Protection, Information Security
Keywords: биометрический образ, метод генерации отпечатков пальцев, цифровое изображение, гистограмма, фильтрация, отпечаток пальца, алгоритм распознавания, шумы на цифровом изображении
Published: 13.03.2019

Today biometric data are actively used to confirm identity. In connection with the frequent use of biometric data, it became necessary to test a variety of recognition algorithms, and this required a large database created by special programs. The method of obtaining synthesized fingerprints is considered using the example of the SFinGe program algorithm. An option of the algorithm for determining the synthesized fingerprint is proposed. The algorithm consists of four consecutive actions (obtaining a halftone image, filtering, image acquisition and noise histograms, analysis of the background on the histogram). Also considered the option to further improve the algorithm.

References

[1] Biometric System Laboratory: website URL: http://biolab.csr.unibo.it/home.asp (accessed: 20.07.2018).

[2] GOST R 52633.2-2010. Zashchita informatsii. Tekhnika zashchity informatsii. Trebovaniya k formirovaniyu sinteticheskikh biometricheskikh obrazov, prednaznachennykh dlya testirovaniya sredstv vysokonadezhnoy biometricheskoy autentifikatsii [State standard R 52633.2-2010. Information protection. Information protection technology. Requirements for creation procedures for bases of synthetic biometric images, intended for high-reliability biometric authentication means testing]. Moscow, Izd-vo standartov Publ., 2010 (in Russ.).

[3] Cappelli R. Fingerprint sample synthesis. Encyclopedia of biometrics. Springer, 2015.

[4] Kanich O. Fingerprint damage simulation. LAP LAMBERT Academic Publ., 2014.

[5] Dzhigan V.I. Adaptivnaya fil’tratsiya signalov: teoriya i algoritmy [Adaptive signal filtering: theory and algorithms]. Moscow, Tekhnosfera Publ., 2013 (in Russ.).

[6] Gonzales R.C., Woods R.E. Digital image processing. Boston, MA Addison-Wesley, 2001. 823 p. (Russ. ed.: Tsifrovaya obrabotka izobrazheniy. Moscow, Tekhnosfera Publ., 2012.)

[7] SLK20R. ZKTeco.com: website. URL: https://www.zkteco.com/en/product_detail/243.html (accessed: 20.07.2018).

[8] Turygin I.A. Prikladnaya optika [Applied optics]. Moscow, Mashinostroenie Publ., 1966 (in Russ.).

[9] Miroshnikov M.M. Teoreticheskie osnovy optiko-elektronnykh priborov [Theoretical basis of optoelectronic devices]. Sankt-Petersburg, Lan’ Publ., 2010 (in Russ.).

[10] Ishanin G.G., Chelibanov V.P. Priemniki opticheskogo izlucheniya [Optical detectors]. Sankt-Petersburg, Lan’ Publ., 2014 (in Russ.).