dc.contributor.advisor |
Alrefayah, Mousa |
|
dc.contributor.author |
Amro, Mai |
|
dc.contributor.author |
Talahmeh, Shaima' |
|
dc.contributor.author |
Drbeea, Samia |
|
dc.date.accessioned |
2018-02-21T20:56:48Z |
|
dc.date.accessioned |
2022-05-11T06:20:43Z |
|
dc.date.available |
2018-02-21T20:56:48Z |
|
dc.date.available |
2022-05-11T06:20:43Z |
|
dc.date.issued |
6/1/2015 |
|
dc.identifier.uri |
http://test.ppu.edu/handle/123456789/425 |
|
dc.description |
CD , Number of page 110, هندسة حاسوب 6/2015 |
en_US |
dc.description.abstract |
Abstract
Our project presents a new biometric for individual veri cation and au-
thentication. It improves the better security protection and con dentiality
of security information without the need for passwords that can replicated
or stolen. We used ECG (Electrocardiogram) waveform for individual veri -
cation, because it varies from one person to another. It is a new and abetter
biometric recognition for more security from the other biometric recognition
like iris, ngerprint. It identi es user by verifying his unique ECG waveform.
It also can unlock user's accounts and devices. If someone else wears the
device, it does not work. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Palestine Polytechnic University - Department of Computer Engineering |
en_US |
dc.subject |
Biometric , identification , based ECG , waveform |
en_US |
dc.title |
Biometric identification based on ECG waveform |
en_US |
dc.type |
Other |
en_US |