T. Malathi
Papers
2
Total Citations
10
H-Index
2
About
T. Malathi is a researcher focused on the intersection of Robotic Process Automation (RPA) and Optical Character Recognition (OCR) technologies, with a particular emphasis on open-source solutions. Her work explores how software bots can automate repetitive digital tasks, freeing humans for more creative and decision-oriented work. In her most cited paper (2021, 8 citations), she experimentally analyzed the performance of RPA when integrated with Microsoft OCR and Google Tesseract OCR engines, providing valuable benchmarks for practitioners. A subsequent study (2021, 2 citations) extended this work by incorporating the Levenshtein Distance algorithm to evaluate OCR accuracy in RPA contexts. Malathi's contributions are notable for their practical, experimental approach to comparing open-source tools, offering guidance for organizations seeking cost-effective automation solutions. Her research addresses a growing need in IT and business strategy: making automation more accessible and reliable. By systematically testing and documenting the capabilities of different OCR engines within RPA frameworks, she has laid groundwork for more efficient digital transformation efforts.
Research Focus
Key Achievements
Top Papers
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