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Image Analysis and Pattern Recognition

Our vision is centered on developing cutting-edge technology to address specific challenges in the realms of restoring, recognizing, and preserving historical documents, as well as post-harvest and precision farming methods. We aim to learn about the problems and issues associated with automated image analysis algorithms and techniques from the perspective of both Document Image Analysis and Agriculture-related processing methods. By combining our expertise in these diverse fields, we strive to create innovative solutions that not only enhance our understanding of historical records and documents but also improve the efficiency and precision of farming practices. This holistic approach will not only benefit historical preservation efforts but also contribute to the development of sustainable and technologically advanced agriculture, thereby fostering progress and innovation across these two distinct yet interconnected domains.

Keywords

  • Camera Captured document analysis
  • Sustanaible farming technologies
  • Medical image analysis
  • Precision farming

Team

Dr. Shobha Rani N.

Dr. Shobha Rani N.

Team Lead

Bipin Nair B. J.

Bipin Nair B. J.

Assistant Professor

Pushpa B. R.

Pushpa B. R.

Assistant Professor

Akshatha Prabhu

Akshatha Prabhu

Assistant Professor

Koushik K. S.

Koushik K. S.

Assistant Professor

Sreekumar N. R.

Sreekumar N. R.

Assistant Professor

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