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  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
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A novel biometric authentication approach using electrocardiogram signals

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Date

2013

Author

Gürkan, Hakan
Güz, Ümit
Yarman, Bekir Sıddık Binboğa

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Citation

Gürkan, H., Güz, Ü. & Yarman, B. S. B. (2013). A novel biometric authentication approach using electrocardiogram signals. Paper presented at the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4259-4262. doi:10.1109/EMBC.2013.6610486

Abstract

In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.

Source

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

URI

https://hdl.handle.net/11729/597
http://dx.doi.org/10.1109/EMBC.2013.6610486

Collections

  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [211]
  • Scopus İndeksli Bildiri Koleksiyonu [409]
  • WoS İndeksli Bildiri Koleksiyonu [332]

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