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Generation of a biometrically activated digital signature based on hybrid neural network algorithms
Author(s) -
П. С. Ложников,
A. E. Sulavko
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1050/1/012047
Subject(s) - biometrics , authentication (law) , computer science , artificial neural network , perceptron , signature (topology) , digital signature , key (lock) , reliability (semiconductor) , algorithm , artificial intelligence , pattern recognition (psychology) , mathematics , computer security , hash function , power (physics) , physics , geometry , quantum mechanics

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