Acquition of ECG and Iris data for biometric authentication

Abstract

Use of Electrocardiographic signals is not new in the field of medical diagnosis to diagnose one’s heart health since long decades. But now the same signals can also be used in recognizing a person and thus as a biometric trait. Acquisition of such a vital signal can be done through wired and wireless contacts of electrodes. Several works are already being carried out in these fields. This is because of the universality, individuality, permanence, recordability of the signal from the subject. The data can be collected from the subject using single lead, three leads or even 12 leads. The ECG can be also be recorded through the subject’s fingertip using one lead ECG setup. However these signals will be vulnerable to numerous types of noises like base line wander, powerline interference, high frequency noise and low frequency noise. Thus it’s a challenging factor to design a biometric system by eradicating these noises. This paper presents a data acquisition system using ECG as well as IRIS where IRIS also provides unique information about individuals.