Several symmetric distance measures are tested on complete mass spectra by four different test methods, based on linear and hierarchical library search. The euclidean distance measure is tested with several normalization procedures by the same methods. The results show that no single distance measure is optimal in all situations. In particular, different types of noise in the spectrum may require different distance measures for optimal identification. Normalization of the spectrum to unit vector length or standard measure can improve the results.