Dr. Rajarshi Pal

ASSISTANT PROFESSOR

e-mail : prajarshi(at)idrbt(dot)ac(dot)in


Educational Qualifications

  • Ph.D. in Computer Science & Engineering, Indian Institute of Technology, Kharagpur, 2011
  • M.E. in Software Engineering, Jadavpur University, 2006
  • B. Tech. in Information Technology, Kalyani Government Engineering College, 2004.

Research Interests

  • Image Processing
  • Computer Vision
  • Biometrics
  • Cyber Security

Professional Experience

  • Working as Assistant Professor in IDRBT since August 2011
  • Worked as Research Associate, Center for Soft Computing Research, Indian Statistical Institute, Kolkata from December 2010 to August 2011.

Ph.D. Guidance

  • Ravi Uyyala [Status: Degree Awarded - 2020 (Thesis title: Reversible Data Hiding in Grayscale Images Using Prediction Error Expansion Based Techniques)]
  • Prabhat Dansena [Status: Ongoing (Topic: Pen Ink Differentiation for Hand-written Document Forensics)]
  • K. Suresh [Status: Ongoing (Topic: Cryptographic Key Generation from Biometrics)]
  • Shadab Ahmad [Status: Ongoing (Topic: Multi-Biometric Systems)]
  • M. Sabhapathy [Status: Ongoing (Topic: Machine Learning Based Pixel Prediction for Reversible Data Hiding)]

Recent Publications

  • Journals
    • P. Dansena, R. Pal, and S. Bag, “Pen ink discrimination in handwritten documents using statistical and motif texture analysis: a classification based approach”, Multimedia Tools and Applications, Springer (accepted)
    • S. Ahmad, R. Pal, and A. Ganivada, “Rank level fusion of multimodal biometrics using genetic algorithm”, Multimedia Tools and Applications, Springer (accepted)
    • S. Kaliyannan, R. Pal, and S. R. Balasundaram, “A stable cryptographic key generation from fingerprint biometrics using gray code for secure data storage”, International Journal of Information and Computer Security (accepted)
    • K. Suresh, R. Pal, and S. R. Balasundaram, “Two-factor-based RSA key generation from fingerprint biometrics and password for secure communication”, Complex & Intelligent Systems, Springer, vol. 128, February 2022
    • P. Dansena, S. Bag, and R. Pal, “Generation of synthetic data for handwritten word alteration detection”, IEEE Access, vol. 9, pages 38979-38990, February 2021
    • P. Dansena, R. Pal, and S. Bag, “Quantitative assessment of color models for pen ink discrimination in handwritten documents”, IET Image Processing, vol. 14, issue 8, pages 1594-1604, June 2020
    • R. Uyyala, R. Pal, and M. V. N. K. Prasad, “Reversible data hiding using b-tree triangular decomposition based prediction”, IET Image Processing, vol. 13, issue 11, pages 1986-1997, October 2019
  • Conferences
    • S. Ahmad, R. Pal, and A. Ganivada, “Rank level fusion of multimodal biometrics using particle swarm optimization”, In: Proc. of 9th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2021), Kolkata, India, December 2021
    • C. Ventatarao, R. Pal, A. Verma, D. Sen, “Image re-attentionizing using particle swarm optimization”, In: Proc. of 9th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2021), Kolkata, India, December 2021
    • S. Ahmad, R. Pal, and A. Ganivada, “Score level fusion of multimodal biometrics using genetic algorithm”, In: Proc. of IEEE Congress on Evolutionary Computation (CEC 2021), pages 2242-2250, Krakow, Poland, June-July 2021
    • S. Mayakal, R. Pal, and N. Naveen, “Reversible data hiding technique using multi-layer perceptron based prediction and adaptive histogram bin shifting”, In: Proc. of 10th International Conference on Soft Computing for Problem Solving (SoCProS 2020), pages 231-243, Indore, India, December 2020
    • R. Uyyala and R. Pal, “Reversible data hiding with selected directional context based prediction using 8-neighborhood”, In: Proc. of 6th International Conference on Electronics, Computing, and Communication Technologies (IEEE CONECCT 2020), Bangalore, India, July 2020
    • A. Bhandari, S. Sharma, R. Uyyala, R. Pal, and M. Verma, “Reversible data hiding using multi-Layer perceptron based pixel prediction”, In: Proc. of 11th International Conference on Advances in Information Technology (IAIT 2020), pages 1-8, Bangkok, Thailand, July 2020
    • R. Uyyala and R. Pal, “Reversible data hiding using improved gradient based prediction and adaptive histogram bin shifting”, In: Proc. of 7th International Conference on Signal Processing and Integrated Networks (SPIN 2020), pages 720-726, Noida, India, February 2020
    • S. Ahmad, R. Pal, and A. Ganivada, “Rank level fusion of multimodal biometrics based on cross-entropy monte-carlo method”, In: Proc. of Fifth International Conference on Signal Processing and Intelligent Recognition Systems (SIRS 2019), pages 64-74, Trivandrum, India, December 2019
    • P. Dansena, R. Pramanik, S. Bag, and R. Pal, “Ink analysis using CNN-based transfer learning to detect alteration in handwritten words”, In: Proc. of Fourth International Conference on Computer Vision and Image Processing (CVIP 2019), pages 223-232, Jaipur, India, September 2019

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