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Application of Machine Learning Methods to the Problem of Searching for a Region of Interest for Biometric Identification Based on the Pattern of Palm Veins

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Abstract

This paper discusses the problem of searching for a region of interest for biometric identification based on the pattern of palm veins. An image segmentation method is proposed based on the use of convolutional neural networks (CNNs) to search for a region of interest. The operation of this method is compared with methods that use the features of a binarized image, and in particular, with the method of searching for the local minima and searching for the minimum threshold value.

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Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. St. Petersburg State University of Aerospace Instrumentation, 190000, St. Petersburg, Russia

    A. I. Almuhamedov & V. S. Kolomoitcev

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  1. A. I. Almuhamedov
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  2. V. S. Kolomoitcev
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Correspondence to V. S. Kolomoitcev.

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Translated by S. Avodkova

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Almuhamedov, A.I., Kolomoitcev, V.S. Application of Machine Learning Methods to the Problem of Searching for a Region of Interest for Biometric Identification Based on the Pattern of Palm Veins. Aut. Control Comp. Sci. 57, 1126–1134 (2023). https://doi.org/10.3103/S0146411623080023

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