Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection

Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection

Recurrent Neural Networks are powerful machine learning frameworks that allow for data to be saved and referenced in a temporal sequence. This opens many new possibilities in fields such as handwriting analysis and speech recognition. This paper seeks to explore current research being conducted on R...

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Bibliographic Details
Main Authors: Joseph M. Ackerson, Rushit Dave, Naeem Seliya
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Information
Subjects:
recurrent neural network
biometric authentication
expression recognition
anomaly detection
smartphone authentication
mouse-based authentication
Online Access:https://www.mdpi.com/2078-2489/12/7/272

Internet

https://www.mdpi.com/2078-2489/12/7/272

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