Deepti Tripathi

Papers

Total Citations

H-Index

About

Deepti Tripathi is a researcher whose work lies at the intersection of computer vision and pattern recognition, with a particular focus on advancing optical character recognition (OCR) technologies. Her most-cited paper, "A Novel Approach for Character Recognition" (2014), addresses fundamental challenges in printed-text recognition, proposing efficient methodologies that bridge the gap between traditional OCR systems and modern computer vision applications, including robotics. This work has accumulated 4 citations, establishing her early contributions to the field. Tripathi’s research is characterized by a practical, application-driven approach, aiming to enhance the accuracy and efficiency of character recognition systems—a cornerstone technology for document digitization, automated data entry, and intelligent robotics. Her contributions are particularly notable for their potential to improve real-world systems where reliable text extraction is critical. While her citation count reflects the emerging nature of her research trajectory, Tripathi’s focus on foundational OCR challenges positions her as a thoughtful contributor to the ongoing evolution of visual recognition technologies. Her work continues to inspire further exploration into robust, scalable character recognition methods.