Bijendra Kumar

Netaji Subhas University of Technology

Papers

3

Total Citations

43

H-Index

2

About

Bijendra Kumar is a researcher specializing in computer vision and machine learning, with a focused interest in text detection and localization within natural scene images. His work addresses the critical challenge of extracting textual information from complex, real-world environments—a task essential for applications such as image-based searching, automatic number plate recognition, and robot navigation. Kumar’s major contributions include developing a text awareness score for improved detection accuracy in his 2018 paper, which has garnered 39 citations, and advancing text region extraction methods using AGF and MSER in 2020. His 2021 review on recent trends in text region identification highlights the integration of machine learning techniques to enhance system efficiency and accuracy. Through these efforts, Kumar has significantly advanced vision-based content analysis, enabling machines to better understand and interact with their surroundings. His work is particularly impactful for students and researchers exploring the intersection of image processing and artificial intelligence, offering foundational insights into robust text localization in unconstrained settings.

Research Focus

Key Achievements

2
H-Index
3
Papers
43
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Text detection and localization in natural scene images based on text awareness score
39 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Netaji Subhas University of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago