Diwaan Chandar C S
Papers
1
Total Citations
2
H-Index
1
About
Diwaan Chandar C S is a researcher at the forefront of Robotic Process Automation (RPA) and intelligent document processing. His work focuses on integrating Optical Character Recognition (OCR) engines with automation frameworks to enhance the accuracy and efficiency of software bots. In his most cited paper, "Analyzing and Experimenting Open Source OCR Engines in RPA with Levenshtein Distance Algorithm" (2021), he systematically evaluates open-source OCR tools and applies the Levenshtein distance algorithm to measure and improve text recognition accuracy. This contribution is pivotal for automating repetitive computer tasks—such as data entry from scanned documents—freeing humans for more creative and decision-intensive work. With 2 citations, his research provides a practical methodology for selecting and optimizing OCR engines in RPA pipelines, directly impacting industries seeking to streamline operations. Diwaan’s work bridges the gap between algorithmic precision and real-world automation, offering a replicable framework for developers and researchers. His efforts underscore a commitment to making automation more reliable and accessible, positioning him as a promising voice in the evolving landscape of intelligent process automation.
Research Focus
Key Achievements
Top Papers
- 1