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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175197
Abstract: This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named Character Arkiv Digital Sweden (CArDIS) (https://cardisdataset.github. io/CARDIS/). The samples in CArDIS are collected from 64,084 Swedish historical documents written…
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Keywords:
swedish historical;
character;
word;
handwritten character ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3201560
Abstract: Many problems can reduce handwritten character recognition performance, such as image degradation, light conditions, low-resolution images, and even the quality of the capture devices. However, in this research, we have focused on the noise in…
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Keywords:
recognition;
cnn;
character images;
handwritten character ... See more keywords
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Published in 2022 at "Algorithms"
DOI: 10.3390/a15040129
Abstract: Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images. Handwritten character recognition (HCR) is now a very powerful tool to detect traffic…
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Keywords:
recognition;
neural networks;
character recognition;
accuracy ... See more keywords
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Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.565
Abstract: In this era of advancements in deep learning, an autonomous system that recognizes handwritten characters and texts can be eventually integrated with the software to provide better user experience. Like other languages, Bangla handwritten text…
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Keywords:
bangla handwritten;
network based;
convolutional neural;
handwritten character ... See more keywords