A Novel Human Identification System based on Electrocardiogram Features

被引：0

作者：

Gurkan, Hakan ^{[1
]}

Guz, Umit ^{[1
]}

Yarman, B. S. ^{[2
]}

机构：

[1] Isik Univ, Dept Elect & Elect Engn, Istanbul, Turkey

[2] Istanbul Univ, Dept Elect & Elect Engn, Istanbul, Turkey

来源：

2013 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS) | 2013年

关键词：

ECG; human identification; feature extraction; ECG;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：4

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