A novel human identification system based on electrocardiogram features
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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
The work is supported by The Scientific Research Fund of ISIK University (Project Number: 10A301)
Anahtar Kelimeler
ECG, Human identification, Feature extraction, Authentication, Band-pass filters, Databases, Discrete cosine transforms, Electrocardiography, Mel frequency cepstral coefficient, AC-DCT feature extraction, ACDCT based biometric authentication system, ECG signal, MFCC based biometric authentication system, MFCC feature extraction, PTB database, QRS beat information, Average frame recognition rate, Biometric authentication approach, Electrocardiogram feature extraction, Human identification system, Bioelectric potentials, Cryptographic protocols, Medical signal detection, Medical signal processing
Kaynak
International Symposium on Signals, Circuits and Systems ISSCS2013
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Gürkan, H., Güz, Ü., & Yarman, B. S. B. (2013). A novel human identification system based on electrocardiogram features. Paper presented at the International Symposium on Signals, Circuits and Systems ISSCS2013, 1-4. doi:10.1109/ISSCS.2013.6651266
