Journal ArticleDOI
ECG analysis: a new approach in human identification
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TLDR
Experiments show that it is possible to identify a person by features extracted from one lead only, and only three electrodes have to be attached on the person to be identified.Abstract:
A new approach in human identification is investigated. For this purpose, a standard 12-lead electrocardiogram (ECG) recorded during rest is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence, only three electrodes have to be attached on the person to be identified. This makes the method applicable without too much effort.read more
Citations
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Unveiling the biometric potential of finger-based ECG signals
TL;DR: A finger-based ECG biometric system, that uses signals collected at the fingers, through a minimally intrusive 1-lead ECG setup recurring to Ag/AgCl electrodes without gel as interface with the skin, is proposed.
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ECG to identify individuals
TL;DR: The tests show that the extracted features are independent of sensor location, invariant to the individual's state of anxiety, and unique to an individual.
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Wavelet Distance Measure for Person Identification Using Electrocardiograms
TL;DR: An evaluation of a new biometric based on electrocardiogram (ECG) waveforms that has a classification accuracy of 89%, outperforming the other methods by nearly 10%.
Journal ArticleDOI
Analysis of human electrocardiogram for biometric recognition
TL;DR: A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced and a new approach based on autocorrelation (AC) in conjunction with discrete cosine transform (DCT) is proposed.
Journal ArticleDOI
A survey on ECG analysis
Selcan Kaplan Berkaya,Alper Kursat Uysal,Efnan Sora Gunal,Semih Ergin,Serkan Gunal,M. Bilginer Gülmezoğlu +5 more
TL;DR: The literature on ECG analysis, mostly from the last decade, is comprehensively reviewed based on all of the major aspects mentioned above.
References
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Automatic recognition and analysis of human faces and facial expressions: a survey
Ashok Samal,Prasana A. Iyengar +1 more
TL;DR: The capability of the human visual system with respect to face identification, analysis of facial expressions, and classification based on physical features of the face are discussed.
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Proceedings ArticleDOI
A security system based on human iris identification using wavelet transform
TL;DR: A security system based on the recognition of the iris of human eyes using the wavelet transform using only a few selected intermediate resolution levels for matching, thus making it computationally efficient as well as less sensitive to noise and quantisation errors.