diff --git a/Documentation/Cookbook/rst/recipes/pbclassif.rst b/Documentation/Cookbook/rst/recipes/pbclassif.rst
index cd773794fa946ebe3fbff1090ddfb2132f942de3..4d1ff62294af9bca08164638e7ec446de651bcd2 100644
--- a/Documentation/Cookbook/rst/recipes/pbclassif.rst
+++ b/Documentation/Cookbook/rst/recipes/pbclassif.rst
@@ -9,7 +9,7 @@ pixel-based image classification. This framework allows to learn from
 multiple images, and using several machine learning method such as
 SVM, Bayes, KNN, Random Forests, Artificial Neural Network, and
 others...(see application help of ``TrainImagesClassifier`` and
-``TrainOGRLayersClassifier`` for further details about all the available
+``TrainVectorClassifier`` for further details about all the available
 classifiers). Here is an overview of the complete workflow:
 
 1. Compute samples statistics for each image