Mayur Bhargab Bora

Papers

Total Citations

101

H-Index

About

Dr. Mayur Bhargab Bora is a leading researcher in the intersection of deep learning and pattern recognition, with a primary focus on advancing optical character recognition (OCR) and handwritten text analysis. His most influential work, "Handwritten Character Recognition from Images using CNN-ECOC" (2020), has garnered over 100 citations, establishing a novel hybrid framework that combines the feature extraction power of Convolutional Neural Networks with the robust error-correcting capabilities of ECOC classifiers. This contribution has significantly improved the accuracy and reliability of automated handwriting recognition systems, addressing a long-standing challenge in document digitization. Dr. Bora’s research bridges classical machine learning techniques with modern deep architectures, offering practical solutions for real-world OCR applications. His work is widely recognized for its methodological clarity and reproducible results, making it a cornerstone reference for students and engineers developing intelligent character recognition systems. By pushing the boundaries of how machines interpret human handwriting, Dr. Bora continues to shape the future of automated document processing and assistive technologies.