ECG based biometrics verification system using LabVIEW
Biometric based authentication systems provide solutions to the problems in high security which remain with conventionalsecurity systems. In a biometric verification system, human’s biological parameters (such as voice, finger print,palm print or hand geometry, face, iris etc.) are used to verify th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2010-07-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | http://www.rdoapp.psu.ac.th/html/sjst/journal/32-3/0125-3395-32-3-241-246.pdf |
| _version_ | 1818552016749723648 |
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| author | Sunil Kumar Singla Ankit Sharma |
| author_facet | Sunil Kumar Singla Ankit Sharma |
| author_sort | Sunil Kumar Singla |
| collection | DOAJ |
| description | Biometric based authentication systems provide solutions to the problems in high security which remain with conventionalsecurity systems. In a biometric verification system, human’s biological parameters (such as voice, finger print,palm print or hand geometry, face, iris etc.) are used to verify the authenticity of a person. These parameters are good to beused as biometric parameters but do not provide the guarantee that the person is present and alive. As voice can be copied,finger print can be picked from glass on synthetic skin and in face recognition system due to genetic factors identical twinsor father-son may have the same facial appearance. ECG does not have these problems. It can not be recorded without theknowledge of the person and ECG of every person is unique even identical twins have different ECG. In this paper an ECGbasedbiometrics verification system which was developed using Laboratory Virtual Instruments Engineering Workbench(LabVIEW) version 7.1 is discussed. Experiments were conducted on the database stored in the laboratory of 20 individualshaving 10 samples each and the results revealed a false rejection rate (FRR) of 3% and false acceptance rate (FAR) of 3.21%. |
| first_indexed | 2024-12-12T09:07:35Z |
| format | Article |
| id | doaj.art-d837681e7a3d407e9f3142590a88bcf2 |
| institution | Directory Open Access Journal |
| issn | 0125-3395 |
| language | English |
| last_indexed | 2024-12-12T09:07:35Z |
| publishDate | 2010-07-01 |
| publisher | Prince of Songkla University |
| record_format | Article |
| series | Songklanakarin Journal of Science and Technology (SJST) |
| spelling | doaj.art-d837681e7a3d407e9f3142590a88bcf22022-12-22T00:29:38ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952010-07-01323241246ECG based biometrics verification system using LabVIEWSunil Kumar SinglaAnkit SharmaBiometric based authentication systems provide solutions to the problems in high security which remain with conventionalsecurity systems. In a biometric verification system, human’s biological parameters (such as voice, finger print,palm print or hand geometry, face, iris etc.) are used to verify the authenticity of a person. These parameters are good to beused as biometric parameters but do not provide the guarantee that the person is present and alive. As voice can be copied,finger print can be picked from glass on synthetic skin and in face recognition system due to genetic factors identical twinsor father-son may have the same facial appearance. ECG does not have these problems. It can not be recorded without theknowledge of the person and ECG of every person is unique even identical twins have different ECG. In this paper an ECGbasedbiometrics verification system which was developed using Laboratory Virtual Instruments Engineering Workbench(LabVIEW) version 7.1 is discussed. Experiments were conducted on the database stored in the laboratory of 20 individualshaving 10 samples each and the results revealed a false rejection rate (FRR) of 3% and false acceptance rate (FAR) of 3.21%.http://www.rdoapp.psu.ac.th/html/sjst/journal/32-3/0125-3395-32-3-241-246.pdfbiometricsECGLabVIEWfalse acceptance ratefalse rejection rate |
| spellingShingle | Sunil Kumar Singla Ankit Sharma ECG based biometrics verification system using LabVIEW Songklanakarin Journal of Science and Technology (SJST) biometrics ECG LabVIEW false acceptance rate false rejection rate |
| title | ECG based biometrics verification system using LabVIEW |
| title_full | ECG based biometrics verification system using LabVIEW |
| title_fullStr | ECG based biometrics verification system using LabVIEW |
| title_full_unstemmed | ECG based biometrics verification system using LabVIEW |
| title_short | ECG based biometrics verification system using LabVIEW |
| title_sort | ecg based biometrics verification system using labview |
| topic | biometrics ECG LabVIEW false acceptance rate false rejection rate |
| url | http://www.rdoapp.psu.ac.th/html/sjst/journal/32-3/0125-3395-32-3-241-246.pdf |
| work_keys_str_mv | AT sunilkumarsingla ecgbasedbiometricsverificationsystemusinglabview AT ankitsharma ecgbasedbiometricsverificationsystemusinglabview |