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Volume 33 #2

Contents

  1. Computation of eye optics of the cetacean’s eye
  2. Neurophysiological mechanisms of two sequential orientations comparison in working memory
  3. Contribution of the marginal peripheral retina to color constancy: Evidence obtained due to contact lens with implanted occluder
  4. Contribution of the spectral and temporal mechanisms to analysis of complex sound signals
  5. Role of the donor of NO molecules in regulation of primary sensory neuron responses
  6. Identity documents forgery detection with mobile devices
  7. Transient processes of visual evoked potentials in the tasks of human-computer interfaces
  8. Algebraic reconstruction in case of limited GPU memory in the task of computed tomography
  9. New criteria for neural network encoder learning in the string segmentation problem

Identity documents forgery detection with mobile devices

© 2019 D. V. Polevoy

Federal Research Center “Computer Science and Control” of RAS 19333 Moscow, Vavilova avenue, 44-2, Russia
National University of Science and Technology “MISIS” 119991 Moscow, Leninsky prospect, 4, Russia
Smart Engines Ltd., 117312 Moscow, 60-letiya Oktyabryaavenue, 9, Russia

Received 23 Nov 2018

There is a growing interest in using of identity documents images for users registration and identification in mobile and fintech services. At the same time, these technologies increase the risks of losses from fraud. This paper reviews approaches and methods for solving the actual problem of document fraud detection on mobile devices.

Key words: identity documents fraud detection, document image recognition, image processing, mobile device, smartphone, identification

DOI: 10.1134/S0235009219020070

Cite: Polevoy D. V. Ispolzovanie mobilnykh ustroistv dlya vyyavleniya priznakov fabrikatsii dokumentov, udostoveryayushchikh lichnost [Identity documents forgery detection with mobile devices]. Sensornye sistemy [Sensory systems]. 2019. V. 33(2). P. 142-156 (in Russian). doi: 10.1134/S0235009219020070

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