Bakhtiyor Akmuradov

Tashkent University of Information Technology

Papers

Total Citations

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About

Bakhtiyor Akmuradov is a leading researcher in computer vision and natural language processing, with a specialized focus on text recognition for low-resource languages. His most cited work, "Robust Text Recognition for Uzbek Language in Natural Scene Images" (2019, 9 citations), addresses the critical challenge of extracting semantic information from complex visual environments. This research has direct applications in robot navigation, information retrieval from street signs, and assistive technologies for the visually impaired. By developing robust recognition methods tailored to the unique orthographic features of Uzbek, Akmuradov bridges a significant gap in multilingual computer vision systems. His contributions are particularly impactful given the scarcity of annotated datasets for Turkic languages in scene text recognition. Beyond this flagship paper, his work demonstrates a commitment to making AI accessible for underrepresented languages. Akmuradov’s research not only advances the technical frontiers of text spotting in natural images but also promotes digital inclusion, ensuring that language diversity is preserved in the age of intelligent visual systems.