Update README.md

README.md

@@ -6,6 +6,19 @@ This repository contains the author's implementation of ECCV 2018 paper "License
 
 * Paper webpage: http:https://sergiomsilva.com/pubs/alpr-unconstrained/
 
+If you use results produced by our code in any publication, please cite our paper:
+
+```
+@INPROCEEDINGS{silva2018a,
+ author={S. M. Silva and C. R. Jung}, 
+ booktitle={2018 European Conference on Computer Vision (ECCV)}, 
+ title={License Plate Detection and Recognition in Unconstrained Scenarios}, 
+ year={2018}, 
+ pages={580-596}, 
+ doi={10.1007/978-3-030-01258-8_36}, 
+ month={Sep},}
+```
+
 ## Requirements
 
 In order to easily run the code, you must have installed the Keras framework with TensorFlow backend. The Darknet framework is self-contained in the "darknet" folder and must be compiled before running the tests. To build Darknet just type "make" in "darknet" folder: