Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR)
Musa Dildar Ahmed Cheema,
Mohammad Daniyal Shaiq,
Farhaan Mirza
et al.
Abstract:In the realm of digitizing written content, the challenges posed by low-resource languages are noteworthy. These languages, often lacking in comprehensive linguistic resources, require specialized attention to develop robust systems for accurate optical character recognition (OCR). This article addresses the significance of focusing on such languages and introduces ViLanOCR, an innovative bilingual OCR system tailored for Urdu and English. Unlike existing systems, which struggle with the intricacies of low-res… Show more
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