Probabilistic model of fingerprint images of computer biometric authentication

Authors

  • V.M. Shlokin
  • S.G. Rasomakhin

DOI:

https://doi.org/10.30837/rt.2018.2.193.11

Keywords:

biometric fingerprint authentication, papillary lines, characteristics of mines, probabilistic model of fingerprinting portraits, types and numerical characteristics of error distributions of fingerprint implementations

Abstract

Methods of computer biometric authentication are analyzed. Peculiarities of the identification process of fingerprints characteristic features are investigated. A probabilistic model of fingerprint images is proposed. The nature and sources of errors in the processing of imaging portraits under the conditions of distorting influences are grounded. The descriptions and characteristics of error distributions are obtained.

References

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ISO/IEC 19794-1 – 5. Information technology – Biometric data interchange formats. Part 1 – 5.

Daugman J. Information Theory and the IrisCode // IEEE transactions on information forensics and security. 2016. Vol. 11, No. 2. Pp. 400-409.

SourceAFIS for Java and .NET [Электронный ресурс]. https://sourceafis.machinezoo.com/ .

Takahashi1 K. Signature Schemes with a Fuzzy Private Key / Kenta Takahashi1, Takahiro Matsuda, Takao Murakami, Goichiro Hanaoka, Masakatsu Nishigaki // Proceedings of ACNS, 2017. Pp. 1-51.

Вентцель Е. С., Овчаров Л. А. Теория вероятностей. Москва : Наука, 1969. 366 с.

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Published

2018-05-15

How to Cite

Shlokin, V., & Rasomakhin, S. (2018). Probabilistic model of fingerprint images of computer biometric authentication. Radiotekhnika, 2(193), 107–117. https://doi.org/10.30837/rt.2018.2.193.11

Issue

No. 193 (2018): Radiotekhnika

Section

Articles

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