C S Diwaan Chandar
Papers
1
Total Citations
8
H-Index
1
About
C. S. Diwaan Chandar is a researcher whose work sits at the intersection of automation and artificial intelligence, with a particular focus on Robotic Process Automation (RPA) and Optical Character Recognition (OCR) technologies. His most cited paper, an experimental performance analysis comparing Microsoft OCR and Google Tesseract OCR within RPA frameworks, has garnered 8 citations and provides critical insights into optimizing digital automation workflows. This work addresses the practical challenges of integrating open-source OCR engines into enterprise automation, offering benchmarks that help practitioners select the most efficient tools for text extraction from images. By bridging the gap between RPA and computer vision, Chandar’s research contributes to making automation more accessible and effective across IT and business strategy domains. His findings are particularly valuable for developers and organizations seeking to automate document-heavy processes without relying on proprietary, costly solutions. Through his experimental approach, Chandar demonstrates a commitment to advancing the efficiency and scalability of automation technologies, establishing himself as a thoughtful contributor to the ongoing evolution of intelligent process automation.
Research Focus
Key Achievements
Top Papers
- 1