From 189affe0e59a7973c862ffb4d87832c355714a5e Mon Sep 17 00:00:00 2001 From: Iuliia Tkachenko <iuliia.tkachenko@univ-lyon2.fr> Date: Wed, 6 Jul 2022 12:12:49 +0000 Subject: [PATCH] Delete README.md --- README.md | 69 ------------------------------------------------------- 1 file changed, 69 deletions(-) delete mode 100644 README.md diff --git a/README.md b/README.md deleted file mode 100644 index fa79c80..0000000 --- a/README.md +++ /dev/null @@ -1,69 +0,0 @@ -<h1 style="text-align:center"> -A Two-Step Method for Ensuring Printed Document Integrity using Crossing Number Distances -</h1> -<div style="text-align:center"> -<h3> -<a href="https://liris.cnrs.fr/page-membre/felix-yriarte">Felix Yriarte</a>, -<a href="https://paulineputeaux.github.io">Pauline Puteaux</a>, -<a href="https://liris.cnrs.fr/page-membre/iuliia-tkachenko">Iuliia Tkachenko</a> -<br> -<br> -</h3> -</div> - -# Table of content -- [Overview](#overview) -- [Method](#method) -- [Dataset](#dataset) -- [Results](#results) -- [Citation](#citation) -- [Acknowledgements](#acknowledgements) - -# Overview -This page contains the materials presented in the paper -[A Two-Step Method for Ensuring Printed Document Integrity using Crossing Number Distances](https:/hal/paper.pdf). - -You can find here the [impementation](#code) of proposed method in Python 3 and the augmented PaySlip [dataset](#dataset). - - -# Method -The implementation of our method was done using Python and standard image processing libraries, such as OpenCV, matplotlib, and scikit-image. - -# Dataset -The augmented PaySlip dataset can be downloaded [here](https://gitlab.liris.cnrs.fr/gdr_isis_fuzzydoc/fuzzydoc_paper1/-/tree/master/subset). We provide 100 document images printed and scanned using X priner/scanner at 600dpi resolution. - -##### **Augmented PaySlip samples** - - -# Integrity check results - -For our dataset, we have obtained the following results : - - Resolution| Genuine | Forged -:---: | :---: | :----: -PS 300dpi | 100% | 95% -PS 600dpi | 100% | 90% -Double PS 600dpi | 50% | 100% -Total mean | 83% | 95% -:---: | :---: | :----: - -# Citation -The code and the augmented dataset could only be used for scientific purposes. It must not be republished other than by the original authors. The scientific use includes processing the data and showing it in publications and presentations. If you use it, please cite: -``` -@InProceedings{yriarte2022two, - author = {Yriarte F., Puteaux P. and Tkachenko I}, - title = {A Two-Step Method for Ensuring Printed Document Integrity using Crossing Number Distances}, - booktitle = {}, - month = {}, - year = {} -} -``` - -# Acknowledgments -This work was funded by the project FuzzyDoc supported by the CNRS Research Group of Information, Signal, Image and Vision (CNRS GdR-ISIS). -<div style="text-align:center"> -<img style="margin-right: 20px" src="assets/logo_liris.png" alt="LIRIS logo" height="75" width="160"/> -<img style="margin-right: 20px" src="assets/logo_cristal.png" alt="CRIStAL logo" height="75" width="160"/> -<img style="margin-left: 20px" src="assets/logo_gdr_isis.png" alt="GDR-ISIS logo" height="60" width="262"/> -</div> - -- GitLab