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Enhancing iris template matching with the optimal path method

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Abstract

Iris recognition provides a way to obtain a unique biometry-based digital key, which cannot be lost or forgotten. The accuracy of iris matching is strongly affected by correctness of alignment of its local features. It is proposed to split the matched images into several segments, then the alignment is sought using the method of the optimal path. The influence of the number of segments and restrictions on the mobility of neighboring segments on the recognition accuracy is investigated. Computational experiments were carried out with ICE2005 and CASIA databases.

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Authors and Affiliations

  1. Iritech Inc., 21, B.Tatarskaya, Moscow, Russia, 115184

    Vladimir Novik

  2. FRC CSC RAS, 40, Vavilov str., Moscow, Russia, 119333

    Ivan Matveev & Igor Litvinchev

Authors
  1. Vladimir Novik
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  2. Ivan Matveev
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  3. Igor Litvinchev
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Corresponding author

Correspondence to Ivan Matveev.

Additional information

The authors would like to appreciate the opportunity to present the results at COMPSE 2018, Bangkok, Thailand. The work is supported by the Russian Foundation of Basic Research, Project No. 16-51-55019.

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Novik, V., Matveev, I. & Litvinchev, I. Enhancing iris template matching with the optimal path method. Wireless Netw 26, 4861–4868 (2020). https://doi.org/10.1007/s11276-018-1891-0

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  • DOI: https://doi.org/10.1007/s11276-018-1891-0

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