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  1. Nov 16, 2021 · Despite being one of the most spoken languages in the world ($6^{th}$ based on population), research regarding Bengali handwritten grapheme (smallest functional unit of a writing system) classification has not been explored widely compared to other prominent languages. Moreover, the large number of combinations of graphemes in the Bengali language makes this classification task very ...

    • Tarun Roy, Hasib Hasan, Kowsar Hossain, Masuma Akter Rumi
    • arXiv:2111.08249 [cs.CV]
    • 2021
    • 8 pages, 15 figures, pre-print
  2. combinations of graphemes in the Bengali language makes this classification task very challenging. With an effort to contribute to this research problem, we participate in a Kaggle competition [1] where the challenge is to separately classify three constituent elements of a Bengali grapheme in the image: grapheme root,

  3. Jan 2, 2024 · Despite being one of the most spoken languages in the world ($6^{th}$ based on population), research regarding Bengali handwritten grapheme (smallest functional unit of a writing system ...

  4. Jan 2, 2024 · Bengali is one of the world's most widely spoken languages. Due to its 49 alphabets, this language poses a number of challenges in Optical Character Recognition (OCR). Identifying handwritten graphemes is one of them. Now, the grapheme root, vowel diacritic, and consonant diacritic are the three components of the Bengali grapheme.

  5. Nov 16, 2021 · Moreover, the large number of combinations of graphemes in the Bengali language makes this classification task very challenging. With an effort to contribute to this research problem, we participate in a Kaggle competition \cite{kaggle_link} where the challenge is to separately classify three constituent elements of a Bengali grapheme in the image: grapheme root, vowel diacritics, and ...

  6. Moreover, the large number of combinations of graphemes in the Bengali language makes this classification task very challenging. With an effort to contribute to this research problem, we participate in a Kaggle competition [1] where the challenge is to separately classify three constituent elements of a Bengali grapheme in the image: grapheme root, vowel diacritics, and consonant diacritics.

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  8. grapheme root, vowel diacritics, and consonant diacritics from a handwritten Bengali grapheme image. We can utilise deep CNN to solve this problem because it is a multi-label classification challenge.

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