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Biometric recognition provides airtight security by identifying an individual based on the physiological and/or behavioral characteristics.
A number of biometrics modalities have been investigated in the past, examples of which include
physiological traits such as face, fingerprint, iris, and behavioral characteristics like gait and keystroke. However, these
biometrics modalities either can not provide reliable performance in terms of recognition accuracy (e.g., gait, keystroke)
or are not robust enough against falsification. For instance, face is sensitive to artificial disguise, fingerprint can be recreated using
latex, and iris can be falsified by using contact lenses with copied iris features printed on.
Analysis of electrocardiogram (ECG) as a tool for clinical diagnosis has been an active research area in the past two
decades. Recently, a few proposals suggested the possibility of using ECG as a new biometrics modality for human
identity recognition. The validity of using ECG for biometric recognition is supported by the fact that the physiological and geometrical differences
of the heart in different individuals display certain uniqueness in their ECG signals.
Code has been successfully tested on PTB Diagnostic ECG Database. The PTB database is offered
from the National Metrology Institute of Germany and it
contains 549 records from 294 subjects. Each record of the
PTB database consists of the conventional 12-leads and 3
Frank leads ECG. The signals were sampled at 1000 Hz
with a resolution of 0.5 µV. The duration of the recordings vary for each subject. The PTB database contains a
large collection of healthy and diseased ECG signals that
were collected at the Department of Cardiology of University Clinic Benjamin Franklin in Berlin.
Index Terms: Matlab, source, code, ECG, recognition, electrocardiogram, heartbeat, electric, field.
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Figure 1. ECG heartbeat signal |
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A simple and effective source code for ECG Recognition System. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Image Processing Toolbox is required.
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Release |
Date |
Major features |
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1.0 |
2012.06.26 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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ECG Recognition System. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 150 EUROS (less
than 210 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of ECG Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 14 SP1. Matlab Image Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
