Biometric identification based on ECG waveform

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.