Rashedul Islam
Papers
2
Total Citations
7
H-Index
2
About
Rashedul Islam is a researcher specializing in computer vision and document analysis, with a particular focus on Bangla text extraction and recognition from natural scene images. His work addresses the growing demand for real-life applications such as automatic license plate detection, robot navigation, and assistive technologies for visually impaired individuals. Islam’s major contributions include developing an efficient region-of-interest (ROI) detection algorithm for Bangla text extraction, published in 2022, which has garnered 4 citations for its novel approach to identifying and processing text in complex natural environments. Additionally, his 2020 study on using Convolutional Neural Networks (CNNs) for Bangla text extraction and recognition has received 3 citations, demonstrating his early impact in this niche area. By combining traditional image processing with deep learning techniques, Islam has advanced the field of multilingual scene text understanding, making information retrieval from visual data more accessible. His work is particularly notable for its focus on the Bangla script, addressing a gap in non-Latin text recognition systems and contributing to broader inclusivity in AI-driven visual technologies.
Research Focus
Key Achievements
Top Papers
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- 2