| dc.contributor.author | GÜRKAN, HAKAN | |
| dc.contributor.author | Yarman, B. S. | |
| dc.contributor.author | GÜZ, ÜMİT | |
| dc.date.accessioned | 2021-03-05T18:24:26Z | |
| dc.date.available | 2021-03-05T18:24:26Z | |
| dc.identifier.citation | GÜRKAN H., GÜZ Ü., Yarman B. S. , "A Novel Human Identification System based on Electrocardiogram Features", International Symposium on Signals, Circuits and Systems (ISSCS), Iasi, Romanya, 11 - 12 Temmuz 2013 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_ca3be95b-bdf4-47f2-8adb-16f4d77c9729 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/133957 | |
| dc.identifier.uri | https://doi.org/10.1109/isscs.2013.6651266 | |
| dc.description.abstract | In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually. | |
| dc.language.iso | eng | |
| dc.subject | Sinyal İşleme | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Mühendislik | |
| dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
| dc.title | A Novel Human Identification System based on Electrocardiogram Features | |
| dc.type | Bildiri | |
| dc.contributor.department | Işık Üniversitesi , , | |
| dc.contributor.firstauthorID | 141037 | |
