ECG Based Human Authentication Using Wavelets and Random Forests

Provided by: Academy & Industry Research Collaboration Center
Topic: Security
Format: PDF
The ElectroCardioGram (ECG) is an emerging novel biometric for human identification. It can be combined in a multi-modal biometric identification system or used alone for authentication of subjects. The author's primary application can be in health care systems where the ECG is used for health measurements. It does furthermore, better than any other biometrics measures, deliver the proof of subject's being alive as extra information which other biometrics cannot deliver as easily. The main purpose of this paper is to present a novel personal authentication approach for human authentication based on their ECG signals. They present a methodology for identity verification that quantifies the minimum number of heartbeats required to authenticate an enrolled individual.

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