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Multiple biometric authentication for personal identity using wearable device

Authors :
Chun-Chieh Hsiao
Shei-Wei Wang
Robert Lin
Ren-Guey Lee
Source :
SMC
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

In this paper, we propose to integrate fingerprint and ECG authentification implemented on wearable devices for personal identify. The identification rate of fingerprint authentication is 96%, ECG authentication with fixed threshold method and variable threshold method are 92.6% and 95.9% respectively. We have combined fingerprint and ECG authentication as a novel multiple authentication method. Meanwhile, we have reduced the complexity of algorithms and used less ECG wave range in order to implement on wearable devices. The identification rate has been up to 92% to achieve high accuracy and high security goal using wearable devices.

Details

Database :
OpenAIRE
Journal :
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Accession number :
edsair.doi...........379bcef491283046a25a6ae9d597817a