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    ARTICLE

    Multimodal Deep Neural Networks for Digitized Document Classification

    Aigerim Baimakhanova1,*, Ainur Zhumadillayeva2, Bigul Mukhametzhanova3, Natalya Glazyrina2, Rozamgul Niyazova2, Nurseit Zhunissov1, Aizhan Sambetbayeva4

    Computer Systems Science and Engineering, Vol.48, No.3, pp. 793-811, 2024, DOI:10.32604/csse.2024.043273

    Abstract As digital technologies have advanced more rapidly, the number of paper documents recently converted into a digital format has exponentially increased. To respond to the urgent need to categorize the growing number of digitized documents, the classification of digitized documents in real time has been identified as the primary goal of our study. A paper classification is the first stage in automating document control and efficient knowledge discovery with no or little human involvement. Artificial intelligence methods such as Deep Learning are now combined with segmentation to study and interpret those traits, which were not… More >

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