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Multiple biometric authentication for personal identity using wearable device
- 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.
- Subjects :
- Authentication
Biometrics
business.industry
Computer science
Data_MISCELLANEOUS
Fingerprint (computing)
Feature extraction
Wearable computer
020206 networking & telecommunications
02 engineering and technology
Fingerprint recognition
Embedded system
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
Computer hardware
Wearable technology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
- Accession number :
- edsair.doi...........379bcef491283046a25a6ae9d597817a