Automatic Classification of Scanned Electronic University Documents using Deep Neural Networks with Conv2D Layers
Aigerim Baimakhanova,
Ainur Zhumadillayeva,
Sailaugul Avdarsol
et al.
Abstract:This paper proposes a novel approach for scanned document categorization using a deep neural network architecture. The proposed approach leverages the strengths of both convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to extract features from the scanned documents and model the dependencies between words in the documents. The pre-processed documents are first fed into a CNN, which learns and extracts features from the images. The extracted features are then passed through an RNN, which… Show more
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