Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search

Authors:
Nilanjan Dey;Sourav Samanta;Xin-She Yang;Achintya Das;Sheli Sinha Chaudhuri
Affiliations:
Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata - 700032, West Bengal, India;Department of Computer Science and Engineering, University Institute of Technology, Golapbag North, Burdwan - 713104, West Bengal, India;School of Science and Technology, Middlesex University, London NW4 4BT, UK;Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani - 741235, West Bengal, India;Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata - 700032, West Bengal, India
Venue:
International Journal of Bio-Inspired Computation
Year:
2013

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Abstract

Authentication is very important in validating a medical content in the domain of telemedicine; however, there are many challenges. Accurate verification is paramount, and any misuse of personal information may have serious consequences. Many authentication processes tried to design various methods to minimise such discrepancies. In this current work, we propose a new approach to design a robust biomedical content authentication system by embedding logo of the hospital within the electrocardiogram signal by means of both discrete wavelet transformation and cuckoo search CS. An adaptive meta-heuristic cuckoo search is used to find the optimal scaling factor settings for logo embedding. Results show that the proposed method can serve as a secure and accurate authentication system.