DEEP LEARNING BASED PERSON BIOMETRIC IDENTIFICATION

  • 1 Department of Computer Science and Robotics Ufa State Aviation Technical University Ufa, Russia
  • 2 Department of Applied Informatics, M.Akmullah named after Bashkir State Pedagogical University, Ufa, Russia

Abstract

The article is about the biometric person identification using Deep Learning methods. The issues related to the preprocessong of the signal, the extracting of biometric features and classification are considered. The implementation of the LSTM Deep Learning model, which is a kind of Recurrent neural network, is discussed. Factors affecting the accuracy of biometric identification are being studied

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