diff --git a/sklearn/random_projection.py b/sklearn/random_projection.py
index 33dc108a59a4e..8e968088e8141 100644
--- a/sklearn/random_projection.py
+++ b/sklearn/random_projection.py
@@ -38,7 +38,7 @@
 from .utils import check_random_state
 from .utils.extmath import safe_sparse_dot
 from .utils.random import sample_without_replacement
-from .utils.validation import check_array, check_is_fitted
+from .utils.validation import check_is_fitted
 from .utils.validation import _deprecate_positional_args
 from .exceptions import DataDimensionalityWarning
 
@@ -402,9 +402,8 @@ def transform(self, X):
         X_new : {ndarray, sparse matrix} of shape (n_samples, n_components)
             Projected array.
         """
-        X = check_array(X, accept_sparse=['csr', 'csc'])
-
         check_is_fitted(self)
+        X = self._validate_data(X, accept_sparse=['csr', 'csc'], reset=False)
 
         if X.shape[1] != self.components_.shape[1]:
             raise ValueError(
diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
index 4f6f232a8f716..4e7f3bba14498 100644
--- a/sklearn/tests/test_common.py
+++ b/sklearn/tests/test_common.py
@@ -274,7 +274,6 @@ def test_search_cv(estimator, check, request):
     'multiclass',
     'multioutput',
     'pipeline',
-    'random_projection',
 }
 
 N_FEATURES_IN_AFTER_FIT_ESTIMATORS = [