V Niranjan
Papers
2
Total Citations
10
H-Index
2
About
V Niranjan is a researcher focused on the intersection of Robotic Process Automation (RPA) and Optical Character Recognition (OCR) technologies. Their work investigates how open-source OCR engines can be integrated into RPA frameworks to automate document-intensive workflows, addressing critical challenges in software automation across IT and business strategy domains. In their most-cited paper (2021, 8 citations), Niranjan conducted an experimental performance analysis comparing Microsoft OCR and Google Tesseract OCR within RPA environments, providing valuable benchmarks for practitioners. A subsequent study (2021, 2 citations) extended this work by applying the Levenshtein Distance algorithm to evaluate OCR accuracy, offering a rigorous methodology for assessing text recognition quality in automated processes. Niranjan’s contributions are particularly notable for bridging the gap between theoretical automation concepts and practical implementation, helping organizations reduce manual data entry through software bots. Their experimental approach and open-source focus make their work accessible and actionable for researchers and engineers seeking to optimize RPA deployments with cost-effective OCR solutions.
Research Focus
Key Achievements
Top Papers
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