NDLI: Biometric analysis using fused feature set from side face texture and electrocardiogram

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Volume 11 (2017) : Issue 1, Jan

IET Signal Processing

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Biometric analysis using fused feature set from side face texture and electrocardiogram

Content Provider	IET Digital Library
Author	Chakraborty, Samik Mitra, Madhuchhanda Pal, Saurabh
Abstract	Multimodal biometric authentication requires fusion of information extracted from different biometric modalities. Face recognition is the most common and versatile biometric parameter used for years. Recently, biosignals such as electrocardiogram (ECG), photoplathysmogram etc. are under study for probable use in authentication work. It is also established that multi-parameter approach in biometric analysis plays a vital role in increasing accuracy and robustness and preventing spoofing in spite of more computational demand. In the present study, information fusion based authentication system is proposed using face and ECG. Instead of conventional face image, a unique frontal face textural signal is proposed. This leads to simpler data processing similar to that of ECG signal. Finally, information from both the signals is fused at mother template generation level. A good accuracy is achieved using mean square deviation method as presented in the result section. A stability study is also made with five volunteers to check the long term variability of the features.
Starting Page	226
Ending Page	233
Page Count	8
ISSN	17518822
Volume Number	11
e-ISSN	17518830
Issue Number	Issue 2, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/11/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2015.0308
Journal	IET Science, Measurement & Technology
Publisher Date	2016-10-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authentication System Bioelectric Signal Biometric Analysis Biomimetics Computer Vision And Image Processing Technique ECG Electrocardiogram Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Face Recognition Frontal Face Textural Signal Fused Feature Set Image Recognition Information Fusion Long Term Variability Mean Square Deviation Method Mother Template Generation Level Side Face Texture
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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