Update README.md

README.md

@@ -1,8 +1,7 @@
+## MRL @Home face recognition
+> Face recognition using dlib and optimized kNN classification in ROS.
 
-# MRL @Home face recognition
-
-Face recognition using dlib and optimized kNN classification in ROS.
-
+[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)
 
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@@ -473,4 +472,9 @@ Thresh value in Classifier python class is maximum value of Euclidean distance b
 Labels , samples and distances will extended to same list , then the list will sort with distance key.
 Now we can predict label of input sample using there k nearest neighbors.
 
-I used a limit for classification. It will limit samples of each labels that will help to prevent overlapping.
+I used a limit for classification. It will limit samples of each labels that will help to prevent overlapping.
+
+---
+
+[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)
+[![Made in MRL](https://img.shields.io/badge/Made%20in-Mechatronic%20Research%20Labratories-red.svg)](https://www.qiau.ac.ir/)