ECG Biometric Identification Method based on Parallel 2-D Convolutional Neural Networks

Ayca HANILCI; Hakan GÜRKAN

doi:https://doi.org/10.38088/jise.559236

Makale detayları

ECG Biometric Identification Method based on Parallel 2-D Convolutional Neural Networks

Yazarlar:

Ayca HANILCI | Hakan GÜRKAN

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Innovative Science and Engineering 2019 Vol.3 Issue 1, pp.11-22

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000483233

DOI:

https://doi.org/10.38088/jise.559236

Özet:

 


In this paper, an ECG
biometric identification method, based on a two-dimensional convolutional
neural network, is introduced for biometric applications. The proposed model
includes two-dimensional convolutional neural networks that work parallel and
receive two different sets of 2-dimensional features as input. First, ACDCT
features and cepstral properties are extracted from overlapping ECG signals.
Then, these features are transformed from one-dimensional representation to
two-dimensional representation by matrix manipulations. For feature learning
purposes, these two-dimensional features are given to the inputs of the
proposed model, separately. Finally, score level fusion is applied to identify
the user. Our experimental results show that the proposed biometric identification
method achieves an accuracy of %88.57 and an identification rate of 90.48% for
42 persons.


.

Makale detayları

ECG Biometric Identification Method based on Parallel 2-D Convolutional Neural Networks

Yazarlar: Ayca HANILCI | Hakan GÜRKAN

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Innovative Science and Engineering 2019 Vol.3 Issue 1, pp.11-22

Belge Tipi: Makale

Yayın Tarihi: 6/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000483233

DOI: https://doi.org/10.38088/jise.559236

Sayı

Yazarlar:

Ayca HANILCI | Hakan GÜRKAN

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Innovative Science and Engineering 2019 Vol.3 Issue 1, pp.11-22

Belge Tipi:

Makale

Yayın Tarihi:

6/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000483233

DOI:

https://doi.org/10.38088/jise.559236