Abstract

This paper is concerned with the effective evaluation of multimodal biometric database and discusses data collection method with testing protocols, for Electrocardiogram (ECG), face and fingerprint biometrics of 50 individuals. Database of biometric images, and the numerical modules or templates derived from them, are often encrypted with the intension of inhibiting their compromise in bulk. But compromise of individual measures cannot always be prevented by protecting database and transmission channels because biometric measures, although privately owned, are sometimes publicly observable (e.g. a photo of a person’s face can be taken with a camera or downloaded from a web page.). In general, biometric measures are not secret, even if it might be quiet complicated to acquire usable copies (e.g. ECG map) without cooperation of the person when used for security and privacy, biometric characteristics are more like public keys than private keys. Unlike public keys, however, biometric measures cannot be revoked if stolen or mimicked. Hence Multimodal biometrics has gained considerable attention because they enhance the accuracy of biometric person authentication as well as security against attack. Combinations of such multi-modal biometrics are diverse: fingerprint and iris; iris and face ; face and ocular ; face and gait ; gait and the height . In this research paper, we proposed an alternative method for database privacy to authenticate a person for live-ness testing using multimodal biometrics such as ECG-Finger Print-Face in a reliable way as compared to unimodal biometric traits.