Electrocardiogram Feature Based Inter-human Biometric Authentication System

Biometrics integrates various technologies to identify an individual by exploiting their physiological and behavioral characteristics, which are unique and measurable. This paper proposes a novel technique for the development of a robust and secure biometric authentication system. In this current work, an interhuman ECG-Hash code is generated by performing an inner product between the Electrocardiogram (ECG) feature matrices of two different individuals located remotely. The individuals will have each other's ECG features, stored in their database. The accuracy of the system increases as the authentication mechanism requires traits from both the individuals, amongst whom the transmission is taking place. Moreover, the use of ECG features as a biometric trait enhances the security aspects of the system as traits like fingerprints or facial features maybe compromised with age or otherwise.

[1]  S.M. Rahal,et al.  Multimodal Biometric Authentication System - MBAS , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[2]  Shahram Latifi,et al.  A Survey of Unimodal Biometric Methods , 2006, Security and Management.

[3]  Nilanjan Dey,et al.  Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search , 2013, Int. J. Bio Inspired Comput..

[4]  Amit Verma,et al.  Biometric Methods and Implementation of Algorithms , 2009 .

[5]  C. Rodriguez A Best Practices Guide to Fingerprint Biometrics Ensuring a Successful Biometrics Implementation , 2011 .

[6]  Nilanjan Dey,et al.  Analysis of P-QRS-T Components Modified by Blind Watermarking Technique Within the Electrocardiogram Signal for Authentication in Wireless Telecardiology Using DWT , 2012 .

[7]  N. Dey,et al.  BioHash code generation from electrocardiogram features , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[8]  Wai Lok Woo,et al.  Multimodal biometric fusion at feature level: Face and palmprint , 2010, 2010 7th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP 2010).