Abstract :
Biometrics is a secure alternative for
traditional methods in identity verification [1].
Electrocardiogram (ECG) is an emerging biometric
security mechanism. Biometric measures are used in many
different areas and industries to provide a relatively high
level security. The word biological is based on
DeoxyriboNucleic Acid (DNA), behavioural is based on
gait or keystroke dynamic, and morphological is based on
uniqueness for all people like fingerprint or face etc. [2].
ECG is combined with commonly used face biometric and
fingerprint biometric. The uniqueness of the
electrocardiogram signal has encouraged its use in building
different biometric identification systems. It is also a
source of supplementary information to a multi biometric
system; it shows moderate performance in a uni-model
framework. The concerns involved to use ECG as a
biometric for individual authentication are the lack of
standardization in signal features and the presence of
acquisition variations. Otherwise this make the errant users
to hack the data or information.
Keyword :
Human Authentication; Features Extraction; ElectroCardioGram; Biometrics.