What are the challenges in developing OCR for regional languages of India?
Best insight from top research papers
Developing OCR for regional languages of India poses several challenges. One major challenge is the complexity of the scripts and handwriting accents available in these languages, which makes it difficult to accurately recognize the characters . Additionally, the variation in terms and ambiguity in lexical resources further complicates the task of OCR for Indian languages . Another challenge specific to Sanskrit is the lack of datasets and the presence of long-length words in classical Indic documents, which affects the word accuracy of OCR systems . Furthermore, the intricacy of characters with similar structures in languages like Telugu adds to the complexity of OCR, especially for handwritten text . Overall, OCR for regional languages of India, including Sanskrit, Tamil, and others, remains an unsolved challenge for researchers globally .
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| Papers (4) | Insight |
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08 Dec 2022 | The paper states that developing OCR for Indian languages like Sanskrit and Tamil is still an unsolved challenge for many researchers globally. |
01 Jun 2020 | The challenges in developing OCR for regional languages of India include image degradation, lack of datasets, and the complexity of conjunct characters. |
| The challenges in developing OCR for regional languages of India include the intricacy of characters with similar structures and the difficulty in character level segmentation for handwritten text. | |
| The paper states that developing OCR for Indian languages like Sanskrit and Tamil is still an unsolved challenge for many researchers globally. |
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