Sayan Chakraborty

Work place: Department of CSE, JIS College of Engineering, Kalyani, 741235, India



Research Interests: Image Compression, Image Manipulation, Image Processing


Sayan Chakraborty, is currently working as an Asst. Professor in Bengal College of Engg. & Tech, Durgapur, India. He has around 20 research papers in various international journals and conferences. Image processing and meta-heuristics is his research domain.

Author Articles
Interactive Web-interface for Competency-based Classroom Assessment

By Soumi Majumder Soumalya Chowdhury Sayan Chakraborty

DOI:, Pub. Date: 8 Feb. 2023

In this study, four phases of competency-based learning model, namely, i) unconscious incompetence, ii) conscious incompetence, iii) conscious competence and iv) unconscious competence is deployed in classroom teaching methodology. Competency-based learning model helps to understand a student's competence level on a particular topic that is already delivered in the classroom. The current work introduces a web-based competency-based learning model which is focused towards meeting learning objectives. Using the model, post lecture classroom online quiz will help to categorize the weaker student and also will also help to know the emotional state of the learners. 

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High Payload Watermarking using Residue Number System

By Shubhendu Banerjee Sayan Chakraborty Nilanjan Dey Arijit Kumar Pal Ruben Ray

DOI:, Pub. Date: 8 Feb. 2015

Information hiding or data hiding, also known as watermarking, has become a part and parcel of covert communication and copyright protection. Maximizing watermark payload is a major challenge for watermark researchers. To overcome this issue, we have proposed a new color image watermarking technique, using residue number system (RNS). RNS refers to a large integer using a set of smaller integers which relies on the Chinese remainder theorem of modular arithmetic for its operation. The proposed method takes pixel values from three watermark images and embeds them into the main cover image. Experimental results presented in this paper shows that the watermark can be successfully embedded and extracted from an image, without distorting the original image using the proposed technique. The high peak signal to noise ratio (PSNR) and payload values claims the robustness of the proposed method.

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Cellular Automata based Encrypted ECG-hash Code Generation: An Application in Inter-human Biometric Authentication System

By Subrata Nandi Satyabrata Roy Jayanti Dansana Wahiba Ben Abdessalem Karaa Ruben Ray Shatadru Roy Chowdhury Sayan Chakraborty Nilanjan Dey

DOI:, Pub. Date: 8 Oct. 2014

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 ECG-hash 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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