Abstract-In this modern era, biometrics incorporate various mechanisms to recognize inimitable features of human beings by utilizing their biological and evident features. This paper proposes a novel technique for constructing a resilient and secure biometric recognition system. In this paper, an ECG-hash code of two distinct individuals has been formed by taking dot product of electrocardiogram (ECG) feature matrices of two persons located at two different sites at respective databases. The validity of the system increases as samples from both persons, between whom the transmission takes place, are essential. Besides, electrocardiogram is such a unique feature of an individual that could not be compromised at any circumstance as contradictory to other features like fingerprints, face recognition etc. Moreover, the ECGhash code is encrypted using rule vector of cellular automata that gives better security in terms of randomness of generated cipher text.

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In the modern era of health care and medical diagnostics, medical image contents are needed to be transported through the internet, in a safe and secured way, within time. Image compression is a process of reducing the size of an image without affecting the quality. Image compression reduces the size and helps in quick transportation. Digital watermarking is a process of embedding some secret data in an image for copyright protection, authentication, and channel reliability detection, done without affecting its look. In this work, vector quantization based compression technique is used. It follows LBG clustering algorithm. For watermarking, DCT-DWT based embedding and extraction technique is adopted. At first, retina image was compressed and BPP, S NR, MS E, PS NR values were compared, before and after compression. Later, a binary EPR logo image was embedded into compressed and uncompressed images. Correlation values of original watermark and extracted watermark images were computed and compared for further study.

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