diff --git a/ext/opencv/facerecognizer.cpp b/ext/opencv/facerecognizer.cpp
index a6ae7f1..952ee8a 100644
--- a/ext/opencv/facerecognizer.cpp
+++ b/ext/opencv/facerecognizer.cpp
@@ -83,6 +83,43 @@ rb_train(VALUE self, VALUE src, VALUE labels)
   return Qnil;
 }
 
+/*
+ * call-seq:
+ *   udpate(src, labels)
+ *
+ * Updates a FaceRecognizer with given data and associated labels. Only valid on LBPH models.
+ */
+VALUE
+rb_update(VALUE self, VALUE src, VALUE labels)
+{
+  Check_Type(src, T_ARRAY);
+  Check_Type(labels, T_ARRAY);
+
+  VALUE *src_ptr = RARRAY_PTR(src);
+  int src_size = RARRAY_LEN(src);
+  std::vector<cv::Mat> images;
+  for (int i = 0; i < src_size; i++) {
+    images.push_back(cv::Mat(CVMAT_WITH_CHECK(src_ptr[i])));
+  }
+
+  VALUE *labels_ptr = RARRAY_PTR(labels);
+  int labels_size = RARRAY_LEN(labels);
+  std::vector<int> local_labels;
+  for (int i = 0; i < labels_size; i++) {
+    local_labels.push_back(NUM2INT(labels_ptr[i]));
+  }
+
+  cv::FaceRecognizer *self_ptr = FACERECOGNIZER(self);
+  try {
+    self_ptr->update(images, local_labels);
+  }
+  catch (cv::Exception& e) {
+    raise_cverror(e);
+  }
+
+  return Qnil;
+}
+
 /*
  * call-seq:
  *   predict(src)
@@ -171,6 +208,7 @@ init_ruby_class()
   VALUE alghorithm = cAlgorithm::rb_class();
   rb_klass = rb_define_class_under(opencv, "FaceRecognizer", alghorithm);
   rb_define_method(rb_klass, "train", RUBY_METHOD_FUNC(rb_train), 2);
+  rb_define_method(rb_klass, "update", RUBY_METHOD_FUNC(rb_update), 2);
   rb_define_method(rb_klass, "predict", RUBY_METHOD_FUNC(rb_predict), 1);
   rb_define_method(rb_klass, "save", RUBY_METHOD_FUNC(rb_save), 1);
   rb_define_method(rb_klass, "load", RUBY_METHOD_FUNC(rb_load), 1);
diff --git a/test/test_lbph.rb b/test/test_lbph.rb
index 8cbc3e4..c7c2be7 100755
--- a/test/test_lbph.rb
+++ b/test/test_lbph.rb
@@ -13,6 +13,7 @@ class TestLBPH < OpenCVTestCase
     @lbph = LBPH.new
 
     @lbph_trained = LBPH.new
+    @lbph_update = LBPH.new
     @images = [CvMat.load(FILENAME_LENA256x256, CV_LOAD_IMAGE_GRAYSCALE)] * 2
     @labels = [1, 2]
     @lbph_trained.train(@images, @labels)
@@ -52,6 +53,19 @@ class TestLBPH < OpenCVTestCase
     }
   end
 
+  def test_update
+    assert_nil(@lbph_update.train([@images[0]], [@labels[0]]))
+    assert_nil(@lbph_update.update([@images[1]], [@labels[1]]))
+
+    assert_raise(TypeError) {
+      @lbph_update.train(DUMMY_OBJ, @labels)
+    }
+
+    assert_raise(TypeError) {
+      @lbph_update.train(@images, DUMMY_OBJ)
+    }
+  end
+
   def test_predict
     predicted_label, predicted_confidence = @lbph_trained.predict(@images[0])
     assert_equal(@labels[0], predicted_label)