Text-line　segmentation　is　an　important　task　in　the　historical　Tibetan　document　recognition.　Historical　Tibetan　document　images　usually　contain　touching　or　overlapping　characters　between　consecutive　text-lines,　making　text-line　segmentation　a　difficult　task.　In　this　paper,　we　present　a　text-line　segmentation　method　based　on　baseline　detection.　The　initial　positions　for　the　baseline　of　each　line　are　obtained　by　template　matching,　pruning　algorithms　and　closing　operation.　The　baseline　is　estimated　using　dynamic　tracing　within　pixel　points　of　each　line　and　the　context　information　between　pixel　points.　The　overlapping　or　touching　areas　are　cut　by　finding　the　minimum　width　stroke.　Finally,　text-lines　are　extracted　based　on　the　estimated　baseline　and　the　cut　position　of　touching　area.　The　proposed　algorithm　has　been　evaluated　on　the　dataset　of　historical　Tibetan　document　images.　Experimental　result　shows　the　effectiveness　of　the　proposed　method.