Classification of heterogeneous Malayalam documents based on structural features using deep learning models

The proposed work gives a comparative study on performance of various pretrained deep learning models for classifying Malayalam documents such as agreement documents, notebook images, and palm leaves. The documents are classified based on their visual and structural features. The dataset was manuall...

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Veröffentlicht in:International journal of electrical and computer engineering (Malacca, Malacca) Malacca), 2023-02, Vol.13 (1), p.894
Hauptverfasser: Balakrishnan Jayakumari, Bipin Nair, Thomas Kavana, Amel
Format: Artikel
Sprache:eng
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