LineCounter: Learning Handwritten Text Line Segmentation by Counting

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This is the official repo for LineCounter (ICIP 2021). For details of LineCounter, please refer to

@INPROCEEDINGS{9506664,  
  author={Li, Deng and Wu, Yue and Zhou, Yicong},  
  booktitle={2021 IEEE International Conference on Image Processing (ICIP)},   
  title={Linecounter: Learning Handwritten Text Line Segmentation By Counting},   
  year={2021},  
  volume={},  
  number={},  
  pages={929-933},  
  doi={10.1109/ICIP42928.2021.9506664}}

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Overview

Dependency

SauvolaNet is written in the TensorFlow.

• TensorFlow-GPU: 1.15.0

Other versions might also work but are not tested.

Demo

Download the repo and create the virtual environment by following commands

conda create --name LineCounter --file requirements.txt

Download trained-model

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Put trained-model in LineCounter/expts/Allx768xDnCNN/models/BF32:BLK5:BN0,0:M8:LArelu:LCbefore_decoder:SC0:DSdrop:USbilinear:BD1:N0.00:P1/

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Then play with the provided ipython notebook.

Alternatively, one may play with the inference code using this google colab link.

Datasets

We do not own the copyright of the dataset used in this repo.

Below is a summary table of the datasets used in this work along with a link from which they can be downloaded:

Dataset	URL
ICDAR-HCS2013	https://users.iit.demokritos.gr/~nstam/ICDAR2013HandSegmCont/
HIT-MW	http://space.hit.edu.cn/article/2019/03/11/10660 (Chinese)
VML-AHTE	https://www.cs.bgu.ac.il/~berat/

Concat

For any paper related questions, please feel free to contact leedengsh@gmail.com.