Species identification is an important item to characterize unidentified bacterial pathogens in developing and managing bacterial resources. In this study, unidentified pathogens based on the results of an automated identification system were identified using matrix assisted laser desorption ionization-time of flight mass spectrometry (MALD-TOF MS) and 16S rRNA gene analysis for development of national resources in the National Culture Collection for Pathogens (NCCP) in Korea. A total of 437 unidentified strains from branch banks of the NCCP were collected, and 16S rRNA and dnaJ gene sequencing, as well as MALDI-TOF MS analysis were performed to identify bacterial species. The mass spectra extracted were analyzed. Twelve strains exhibiting less than 98.65% similarity in 16S rRNA gene were selected as the primary candidates for novel species, and 21 strains exhibiting 98.65~99.0% similarity in 16S rRNA gene were selected as possible candidates for novel species. Among them, strain 32, belonging to Dermabacter sp., was finally selected as a possible strain representing a novel species and 14 unidentified bacterial strains using automated phenotypic identification system were newly registered at NCCP. The present study showed that unidentified pathogens using the automated phenotypic identification system were efficiently identified using the combination of MALDI-TOF MS and 16S rRNA gene analysis, and developed to the national resources in NCCP.