Quarterly journal published in SPbPU
and edited by prof. Dmitry Zegzhda
and edited by prof. Dmitry Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
ISSN 2071-8217
APPLICATION OF MACHINE LEARNING METHODS IN THE PROBLEM OF SEARCHING AREA OF INTEREST FOR BIOMETRIC IDENTIFICATION BASED ON THE PATTERN OF PALM VEINS
A. I. Almuhamedov, V. S. Kolomoitcev Saint-Petersburg State University of Aerospace Instrumentation
Annotation: The article deals with the problem of finding a region of interest for biometric identification based on the pattern of palm veins. An image segmentation method based on the use of convolutional neural networks to search for an area of interest is proposed. The work of this method is compared with methods that use the features of a binarized image, in particular, with the method of searching for local minimums and searching for the minimum threshold value.
Keywords: biometrics, vein pattern, area of interest, segmentation, neural network.
Pages 128-138