Online signature verification system for mobile devices with multilevel pressure sensor

摘要

The aim of this work is to increase reliability of personal biometric authentication systems deployed on mobile devices. Particularly considered is authentication via handwriting. Proposed approach is based on usage of devices with multilevel pressure sensor considering pressure power while handwriting. Implemented algorithms apply neural networks. As a result obtained reliability of signatures online verification is increased due to reduction of errors of the first and second types. Developed system is going to be used for access and security control in many areas when personal identification shall be performed with minimal time delay and high capacity of the system.