Aiming　at　the　LAMOST　project,　the　largest　sky　survey　project　implemented　in　China,　a　novel　method　for　automatic　recognition　of　emission-line　stars　(ELS)　based　on　detection　of　spectral　lines　is　proposed.　This　method　consists　of　three　main　steps:　1)　the　integral　information　of　spectral　lines　is　calculated　by　obtaining　the　correlations　of　the　features　of　spectral　lines;　2)　the　stellar　Ballmer　lines　are　detected　based　on　the　features　of　stellar　spectral　lines;　3)　the　ELSs　are　automatically　recognized　by　using　the　threshold　of　the　correlations　and　the　results　of　the　stellar　Ballmer　lines.　In　the　experiments　with　all　observed　spectra　from　the　sloan　digital　sky　survey　(SDSS)　DR4,　242　peculiar　celestial　bodies　with　the　stellar　emission　lines　are　obtained.　According　to　the　Sinbad　reference　database,　they　are　the　celestial　bodies　include　ELSs,　cataclysmic　variable　stars　(CVS),　and　unknown　peculiar　celestial　bodies,　etc..　The　extensive　experiments　with　observed　spectra　show　that　the　proposed　method　can　automatically　recognize　ELS　effectively.