A novel biometric authentication approach using electrocardiogram signals
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Dosyalar
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Human identification, ECG, Authentication, Databases, Discrete cosine transforms, Educational institutions, Electrocardiography, Feature extraction, Mel frequency cepstral coefficient, Biomimetics, Electrocardiography, Pattern recognition, AC/DCT feature, ACDCT based biometric authentication system, ECG signal, MFCC based biometric authentication system, MFCC feature, PTB database, QRS beat information, Average frame recognition rate, Biometric authentication approach, Electrocardiogram signal
Kaynak
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
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
