Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images

Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images

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 These methods have problems when faced with degraded historical documents.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 to identify foreground pixels using novel input-generated multichannel images...

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Bibliographic Details
Main Authors: Younes Akbari, Somaya Al-Maadeed, Kalthoum Adam
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Document image binarization
wavelet-based multichannel images
single and multiple CNNs
SegNet
U-net
DeepLabv3+
Online Access:https://ieeexplore.ieee.org/document/9171243/

Internet

https://ieeexplore.ieee.org/document/9171243/

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