diff --git a/sklearn/preprocessing/data.py b/sklearn/preprocessing/data.py
index d447e715c0f27..64516d1ad9e5e 100644
--- a/sklearn/preprocessing/data.py
+++ b/sklearn/preprocessing/data.py
@@ -1458,6 +1458,23 @@ def __init__(self, threshold=0.0, copy=True):
         self.threshold = threshold
         self.copy = copy
 
+    def get_feature_names(self, input_features=None):
+        """
+        Return feature names for output features
+
+        Parameters
+        ----------
+        input_features : list of string, length len(input_features), optional
+            String names for input features if available. By default,
+            None is used.
+
+        Returns
+        -------
+        output_feature_names : list of string, length len(input_features)
+
+        """
+        return input_features
+
     def fit(self, X, y=None):
         """Do nothing and return the estimator unchanged
 
diff --git a/sklearn/preprocessing/tests/test_data.py b/sklearn/preprocessing/tests/test_data.py
index baa62cbbaffe2..ff6cd21d4fad9 100644
--- a/sklearn/preprocessing/tests/test_data.py
+++ b/sklearn/preprocessing/tests/test_data.py
@@ -1300,6 +1300,12 @@ def test_binarizer():
     assert_raises(ValueError, binarizer.transform, sparse.csc_matrix(X))
 
 
+def test_binarizer_feature_names():
+    binarizer = Binarizer()
+    feature_names = binarizer.get_feature_names(["a", "b", "c"])
+    assert_array_equal(['a', 'b', 'c'], feature_names)
+
+
 def test_center_kernel():
     # Test that KernelCenterer is equivalent to StandardScaler
     # in feature space