C. Dhanamjayulu

Vellore Institute of Technology University

Papers

Total Citations

H-Index

About

Dr. C. Dhanamjayulu is a leading researcher at the forefront of artificial intelligence and pattern recognition, with a primary focus on advancing Handwritten Text Recognition (HTR) systems. His most cited work, "Enhancing handwritten text recognition accuracy with gated mechanisms" (2024, 15 citations), represents a significant breakthrough in tackling the inherent challenges of HTR—namely, the complex and highly variable structures of handwritten text. By innovatively applying gated mechanisms, particularly Long Short-Term Memory (LSTM) networks, Dr. Dhanamjayulu has substantially improved the accuracy and robustness of HTR models. This contribution is pivotal for applications ranging from digitizing historical archives to automating document processing. His research not only addresses a long-standing problem in computer vision and natural language processing but also sets a new benchmark for future work in the field. With a growing citation impact, Dr. Dhanamjayulu’s work continues to inspire and guide students and researchers dedicated to pushing the boundaries of intelligent text recognition and machine learning.