DEEP LEARNING BASED PERSON BIOMETRIC IDENTIFICATION
Momcilo Bogdanov, Irina Dumchikova, И.С. Докучаев, Aleksander Dumchikov · Industry 4.0 · 2018
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