diff --git a/modules/features2d/include/opencv2/features2d.hpp b/modules/features2d/include/opencv2/features2d.hpp
index 293b5beff0..18ec360a1d 100644
--- a/modules/features2d/include/opencv2/features2d.hpp
+++ b/modules/features2d/include/opencv2/features2d.hpp
@@ -468,8 +468,7 @@ article](http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions)).
 than union-find method; it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
 
 - the color image algorithm is taken from: @cite forssen2007maximally ; it should be much slower
-than grey image method ( 3~4 times ); the chi_table.h file is taken directly from paper's source
-code which is distributed under GPL.
+than grey image method ( 3~4 times )
 
 - (Python) A complete example showing the use of the %MSER detector can be found at samples/python/mser.py
 */
diff --git a/modules/features2d/src/mser.cpp b/modules/features2d/src/mser.cpp
index a37b4ea482..4fe07bd6eb 100644
--- a/modules/features2d/src/mser.cpp
+++ b/modules/features2d/src/mser.cpp
@@ -35,7 +35,7 @@
  *    it actually get 1.5~2m/s on my centrino L7200 1.2GHz laptop.
  * 3. the color image algorithm is taken from: Maximally Stable Colour Regions for Recognition and Match;
  *    it should be much slower than gray image method ( 3~4 times );
- *    the chi_table.h file is taken directly from paper's source code which is distributed under GPL.
+ *    the chi_table.h file is taken directly from paper's source code which is distributed under permissive BSD-like license: http://users.isy.liu.se/cvl/perfo/software/chi_table.h
  * 4. though the name is *contours*, the result actually is a list of point set.
  */