diff --git a/sklearn/discriminant_analysis.py b/sklearn/discriminant_analysis.py
index 1e82578e2693b..c5c18ac9136d2 100644
--- a/sklearn/discriminant_analysis.py
+++ b/sklearn/discriminant_analysis.py
@@ -18,7 +18,6 @@
 from .linear_model._base import LinearClassifierMixin
 from .covariance import ledoit_wolf, empirical_covariance, shrunk_covariance
 from .utils.multiclass import unique_labels
-from .utils import check_array
 from .utils.validation import check_is_fitted
 from .utils.multiclass import check_classification_targets
 from .utils.extmath import softmax
@@ -586,7 +585,7 @@ def transform(self, X):
                                       "solver (use 'svd' or 'eigen').")
         check_is_fitted(self)
 
-        X = check_array(X)
+        X = self._validate_data(X, reset=False)
         if self.solver == 'svd':
             X_new = np.dot(X - self.xbar_, self.scalings_)
         elif self.solver == 'eigen':
@@ -824,7 +823,7 @@ def _decision_function(self, X):
         # return log posterior, see eq (4.12) p. 110 of the ESL.
         check_is_fitted(self)
 
-        X = check_array(X)
+        X = self._validate_data(X, reset=False)
         norm2 = []
         for i in range(len(self.classes_)):
             R = self.rotations_[i]
diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
index 37b6e666238b8..3c8743518d57f 100644
--- a/sklearn/tests/test_common.py
+++ b/sklearn/tests/test_common.py
@@ -267,7 +267,6 @@ def test_search_cv(estimator, check, request):
     'calibration',
     'compose',
     'covariance',
-    'discriminant_analysis',
     'ensemble',
     'feature_extraction',
     'feature_selection',