Browsing Academic by Subject "Degraded document images"
Now showing items 1-3 of 3
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Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper proposes the utilization of CNNs ... -
Binarization of degraded document images using convolutional neural networks based on predicted two-channel images
( IEEE Computer Society , 2019 , Conference Paper)Due to the poor condition of most of historical documents, binarization is difficult to separate document image background pixels from foreground pixels. This paper proposes Convolutional Neural Networks (CNNs) based on ... -
Subjective and objective quality assessment of degraded document images
( Elsevier Masson SAS , 2018 , Article)The huge amount of degraded documents stored in libraries and archives around the world needs automatic procedures of enhancement, classification, transliteration, etc. While high-quality images of these documents are in ...