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Analysis of Human Electrocardiogram for Biometric Recognition
2007
EURASIP Journal on Advances in Signal Processing
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There are strong evidences that a difficult to falsify biometric trait, the human heartbeat, can be used for identity recognition. ...
Existing solutions for biometric recognition from electrocardiogram (ECG) signals are based on temporal and amplitude distances between detected fiducial points. ...
ACKNOWLEDGMENTS This work has been supported by the Ontario Centres of Excellence (OCE) and Canadian National Medical Technologies Inc. (CANAMET). ...
doi:10.1155/2008/148658
fatcat:tjw4smlsr5cnvnmiixysuqgrq4
Analysis of Human Electrocardiogram for Biometric Recognition Using Analytic and AR Modeling Extracted Parameters
2014
International Journal of Information and Electronics Engineering
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In this paper, a new approach for automatic analysis of single lead ECG for human recognition is proposed and evaluated. ...
Window estimation is based on the localization of the R peaks in the ECG stream that detected by Filter bank method for QRS complex detection. ...
In this paper, a new approach is developed and evaluated for automatic analysis of single lead electrocardiogram (ECG) for human recognition and individual identification. ...
doi:10.7763/ijiee.2014.v4.478
fatcat:hcwgyuhfvjg3zf2fpw6gosaxqa
A survey Paper on Feature Extraction and Classification in ECG Biometric Signal
2017
IJARCCE
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Later a long time have seen a developing enthusiasm for electrocardiogram (ECG) based biometric acknowledgment procedures, particularly in the field of clinical prescription. ...
This Customary biometric recognition frameworks regularly utilize physiological attributes, for example, unique mark, confront, iris, and so forth. ...
[3] "Analysis of human electrocardiogram for biometric recognition"Biometric recognition gives verification by recognizing every individual in view of the biological and physiological signal characteristics ...
doi:10.17148/ijarcce.2017.63123
fatcat:6igbreq6jnhubpo7qsx6fcujae
Integrating Analytic and Appearance Attributes for Human Identification from ECG Signals
2006
2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference
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A multivariate pattern recognition problems. analysis method is used for classification. ...
Israel et al [2] extract 15 In this paper, we investigate identification of human attributes from each individual heartbeat. These attributes subjects from electrocardiogram (ECG) signals. ...
This characteristic of ECG signal raises the step. potential of applying ECG for biometric identity In this paper, we propose a new approach for recognition. identification of human subjects from ECG signals ...
doi:10.1109/bcc.2006.4341627
fatcat:oi6bdidyhna4fc7tbmlc27zx7u
Biometric Authentication Based on Electrocardiogram
[chapter]
2020
Biometric Systems [Working Title]
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Widespread methods of biometric identification, such as fingerprinting, retina recognition, and voice recognition have various vulnerabilities unfortunately. ...
There are questions for manufacturers of mobile applications. Due to the imperfection of their software, personal data of users often leak. ...
A valuable resource for researchers in the field of analysis of biomedical signals is the website https://www.physionet.org/. ...
doi:10.5772/intechopen.91172
fatcat:p2oea2jgjffyvcnh6mdctgql44
Human Identification Based on ECG and Palmprint
2012
International Journal of Electrical and Computer Engineering (IJECE)
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In this paper, a new approach in human identification is investigated. For this purpose, we fused ECG and Palmprint biometrics to achieve a multimodal biometric system. ...
In the proposed system for fusing biometrics, we used MFCC approach in order to extract features of ECG biometric and PCA to extract features of Palm print. The features undergo a KNN classification. ...
A wide range of possibilities exist for parametrically representing the ECG signal for the human recognition task, such as Wavelet Transform (WT), Principal Component Analysis (PCA), Linear Discriminant ...
doi:10.11591/ijece.v2i2.292
fatcat:iaax4cygcvgu5lkq5rd7euuzx4
Human Recognition System using Cepstral Information
2014
International Journal of Advanced Computer Science and Applications
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This paper presents a new method for human recognition using the cepstral information. ...
Thus, the Hidden Markov Model (HMM) under Hidden Markov Model Toolkit (HTK) is used for electrocardiogram (ECG) classification. ...
The increasing need for security leads to the growth of biometrics, and the search for new biometric technology becomes topical. ...
doi:10.14569/ijacsa.2014.050431
fatcat:qfxp3ojz3rh6houhuflwdcizg4
Discriminant Analysis for Identifying Individuals of Electrocardiogram
[chapter]
2013
Lecture Notes in Computer Science
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We present a novel method to characterize the electrocardiogram (ECG) for individual recognition. The method works on analytical and appearance features of the heartbeats. ...
The biometric experiment is benchmarked using ECG recordings of the publically available QT database. ...
In recent years, the physiological signal especially the electrocardiogram (ECG) has been proposed a novel biometric for human recognition [2] - [5] . ...
doi:10.1007/978-3-642-45062-4_12
fatcat:wuqheuoxzbhndmynjjwi4bd5zi
Biometric Identification System Based on Electrocardiogram Data
2008
2008 New Technologies, Mobility and Security
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In this paper we present a biometric identification system based on the Electrocardiogram (ECG) signal. ...
for access control. ...
Existing approaches for biometric recognition from electrocardiogram (ECG) signals are based on temporal and amplitude distances between detected fiducial points. Shen et al. ...
doi:10.1109/ntms.2008.ecp.29
dblp:conf/ntms/GahiLZGKE08
fatcat:q2kvsjyndjh5bpuopxqufn22me
Advanced Signal Processing and Pattern Recognition Methods for Biometrics
2008
EURASIP Journal on Advances in Signal Processing
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The next two papers present biometric systems based on signals captured from the human body. The paper by Y. Wang et al. presents a biometric system based on the analysis of human electrocardiograms. ...
The majority of the papers present methods for human recognition based on facial images, walking style (gait), fingerprints, signature, iris, and retina. ...
doi:10.1155/2008/142013
fatcat:gtappwvatzhy5jpjsk4gtvryjm
Human Electrocardiogram for Biometrics Using DTW and FLDA
2010
2010 20th International Conference on Pattern Recognition
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This paper proposes a new approach for person identification and novel person authentication using single lead human Electrocardiogram. ...
For person identification, Dynamic Time Warping (DTW) and Fisher's Linear Discriminant Analysis (FLDA) with K-Nearest Neighbor Classifier (NNC) as single stage classification yielded a recognition accuracy ...
ACKNOWLEDGMENT The authors wish to thank Mr.Balamuralidhar.P, Head, Innovation Lab, TCS, for his continuous support. ...
doi:10.1109/icpr.2010.935
dblp:conf/icpr/VenkateshJ10
fatcat:pvw74gr3bvforjo3pwkosoyhqa
A Review on Biometric Recognition
2014
International Journal of Bio-Science and Bio-Technology
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Biometrics introduce to the recognition of human by their characteristics. It is used to identify individuals in groups. ...
Biometric systems are divided on the basis of medium used for authentication. ...
These works collected various features of ECG signals to make a decision of the identification The use the electrocardiogram (ECG) as a biometric has been found to give relatively high result for human ...
doi:10.14257/ijbsbt.2014.6.4.07
fatcat:6tsj3d2it5acfbgiblsvvrzgoy
Introduction to the special issue on unconstrained biometrics: advances and trends
2011
Signal, Image and Video Processing
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First of all, we wish to thank Professor Murat Kunt, the editor-in-chief of this journal, for accepting this idea with enthusiasm and for his support and motivation. ...
Acknowledgments We wish to thank to all the people that enabled the publication of this special issue. ...
; analysis of recognition robustness; multimodal and multispectral biometrics. ...
doi:10.1007/s11760-011-0243-7
fatcat:o7q5gtt6hrev7bfoemo7nizpe4
Biometric authentication based on PCG and ECG signals: present status and future directions
2013
Signal, Image and Video Processing
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This paper aims to review the previous studies related to the usage of the ECG and PCG signals in human recognition. ...
Recently, the ElectroCardioGram (ECG) and the PhonoCardioGraph (PCG) have been proposed as novel biometrics. ...
In this study, the authors discuss the employment of brain signals for human recognition tasks and focus on the challenges facing these signals towards the deployment of a practical biometric system. ...
doi:10.1007/s11760-013-0593-4
fatcat:ja2xnsnizzf5piykbteq5bxeva
Review of ECG Signal Identification Research
2017
DEStech Transactions on Computer Science and Engineering
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In the technical field of identification, the research of ECG technology is an emerging biometric identification technology. ...
ECG (Electrocardiogram) signal is a kind of biological information with the features of random, uniqueness and difficult to be duplicated and forged, and is may be utilized as biological identity authentication ...
Correlation Work of Identification of ECG Signal Using ECG signal for human body identification has become a kind of ascendant biometric technology. ...
doi:10.12783/dtcse/aice-ncs2016/5685
fatcat:t5qqqhqrxncorphgiv5vch6dn4
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