diff --git a/README.md b/README.md
index 1c2e534c24c33bf72837a4db4bc4215e0f2a1098..0a0d177f52a20ddeecf0c8de9c72c1eacaf03635 100644
--- a/README.md
+++ b/README.md
@@ -33,7 +33,7 @@ The implementation of our method was done using Python and standard image proces
 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**
-![Augmented PaySlip samples](assets/apayslip_sample.png)
+![Augmented PaySlip samples](assets/augpayslip_sample.png)
 
 # Results
 
@@ -52,12 +52,12 @@ The code and the augmented dataset could only be used for scientific purposes. I
 @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      = {}
+    booktitle = {IEEE International Workshop on Information Forensics and Security},
+    month     = {December},
+    year      = {2022}
 }
 ```
-
+ 
 # Acknowledgements
 This  work  was funded  by the project FuzzyDoc supported by the CNRS Research Group of Information, Signal, Image and Vision (CNRS GdR-ISIS).
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