diff --git a/doc/gpu_data_structures.tex b/doc/gpu_data_structures.tex
index d09372dda3..863628a2e4 100644
--- a/doc/gpu_data_structures.tex
+++ b/doc/gpu_data_structures.tex
@@ -54,7 +54,7 @@ template<typename T> struct PtrStep_
 
 \end{lstlisting}
 
-\cvclass{gpu::PtrElemStrp\_}\
+\cvclass{gpu::PtrElemStrp\_}
 This is structure is similar to DevMem2D\_ but contains only pointer and row step in elements. Width and height fields are excluded due to performance reasons. This class is can only be constructed if sizeof(T) is a multiple of 256. The structure is for internal use or for users who write own device code.
 
 \begin{lstlisting}
@@ -272,4 +272,4 @@ Ensures that size of matrix is big enough and matrix has proper type. The functi
 \end{description}
 
 Also the following wrapper is available:
-\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}
\ No newline at end of file
+\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}
diff --git a/doc/gpu_introduction.tex b/doc/gpu_introduction.tex
index 3d5498ed06..a44b88f503 100644
--- a/doc/gpu_introduction.tex
+++ b/doc/gpu_introduction.tex
@@ -1,4 +1,4 @@
-\section {GPU module introduction}
+\section{GPU module introduction}
 
 \subsection{General information}
 
@@ -56,4 +56,4 @@ Each pair of stripes (from the left and the right images) has been processed on
 The results are merged into the single disparity map.
 \end{itemize}
 With this scheme dual GPU gave 180\% performance increase comparing to the single Fermi GPU. The source code of the example is available at
-\url{https://code.ros.org/svn/opencv/trunk/opencv/examples/gpu/} 
+\url{https://code.ros.org/svn/opencv/trunk/opencv/examples/gpu/}