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@@ -82,8 +82,8 @@ With Correction clothed leaf by leaf with the dioappoistmest
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<i>See the project [Devnagari Handwritten Word Recognition with Deep Learning](https://github.com/sushant097/Devnagari-Handwritten-Word-Recongition-with-Deep-Learning) for more insights.</i>
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# Further Improvement
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* Using MDLSTM to recognize whole paragraph at once [Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention](https://arxiv.org/abs/1604.03286)
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* Line segementation can be added for full paragraph text recognition. For line segmentation you can use A* path planning algorithm or CNN model to seperate paragraph into lines.
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* Better Image preprocessing such as: reduce backgoround noise to handle realtime image more accurately.
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* Line segmentation can be added for full paragraph text recognition. To segment a paragraph into lines, you can use an A* path planning algorithm or CNN model.
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* Better Image preprocessing, such as: reducing background noise to handle real-time images more accurately.
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* Better Decoding approach to improve accuracy. Some of the CTC Decoder found [here](https://github.com/githubharald/CTCDecoder)
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@@ -98,8 +98,8 @@ If you use any part of this project in your work, please cite:
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year={2019}
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}
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```
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Feel Free to improve this project with pull Request.
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Feel Free to improve this project with a pull Request.
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*This is a work from my last semester project in computer engineering at Tribhuvan University. In July of 2019,*
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*This is a work from my undergraduate thesis in computer engineering at Tribhuvan University in 2019.
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