2011 Fifth International Conference on Genetic and Evolutionary Computing 2011
DOI: 10.1109/icgec.2011.92
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Biometric Electrocardiogram Card for Access Control System

Abstract: With the rapid development of access control system based on biometric technologies, the conventional identification exposed more and more weakness while they are easy to be counterfeited and imitated. In this paper, we bring the access control systems with electrocardiogram identification into a practical application. Moreover, a new prompt based ECG algorithm are proposed to seek a more secure and accurate identification. In our evaluation, a hardware board were designed to verified its feasibility, then the… Show more

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Cited by 6 publications
(3 citation statements)
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“…A de-trended fluctuation analysis to quantify the correlation property in the non-stationary physiological time series was presented [ 31 ]. Our previous work for an ECG card access control system [ 32 ] focused on the architecture in ECG human identification.…”
Section: Related Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…A de-trended fluctuation analysis to quantify the correlation property in the non-stationary physiological time series was presented [ 31 ]. Our previous work for an ECG card access control system [ 32 ] focused on the architecture in ECG human identification.…”
Section: Related Studiesmentioning
confidence: 99%
“…Due to implementation cost and accuracy issues, there is not yet a feasible application. In our previous work [ 32 ], we put this idea into practice and introduced a portable ECG card for access control. This small ECG card provides a cheap and convenient way to enhance door access security.…”
Section: System Architecture and Application Examplementioning
confidence: 99%
“…Other modules, including SBLCDA4 LCD display, "JTAG" debugging module of Microprocessor. It had appreciable advantages including Low cost, Real time application for control access system, Prompt based ECG algorithm, Accurate result with user self-control [7]. Anil Jain et.al, the 2 sets of fingerprint images captured with inkless scanners.…”
Section: Literature Reviewmentioning
confidence: 99%