Mukhriddin Mukhiddinov

Tashkent University of Information Technology

Papers

Total Citations

H-Index

About

Mukhriddin Mukhiddinov is a computer vision researcher whose work focuses on text recognition and natural language processing for low-resource languages, particularly Uzbek. His most-cited paper, "Robust Text Recognition for Uzbek Language in Natural Scene Images" (2019, 9 citations), addresses the significant challenge of extracting semantic information from complex visual environments—a task critical for applications like robot navigation, street sign reading, and assistive technologies for the visually impaired. By developing robust recognition methods tailored to the unique script and morphological complexity of Uzbek, Mukhiddinov has made foundational contributions to bridging the gap between computer vision and underrepresented languages. His research demonstrates how scene text recognition can be adapted beyond dominant languages, enabling more inclusive AI systems. While his citation count reflects the emerging nature of this niche, his work holds substantial potential for impact in multilingual information retrieval and accessibility. Mukhiddinov’s efforts are paving the way for more equitable computer vision technologies that serve diverse linguistic communities.