Text　extraction　is　an　important　initial　step　in　digitizing　the　historical　documents.　In　this　paper,　we　present　a　text　extraction　method　for　historical　Tibetan　document　images　based　on　block　projections.　The　task　of　text　extraction　is　considered　as　text　area　detection　and　location　problem.　The　images　are　divided　equally　into　blocks　and　the　blocks　are　filtered　by　the　information　of　the　categories　of　connected　components　and　corner　point　density.　By　analyzing　the　filtered　blocks’　projections,　the　approximate　text　areas　can　be　located,　and　the　text　regions　are　extracted.　Experiments　on　the　dataset　of　historical　Tibetan　documents　demonstrate　the　effectiveness　of　the　proposed　method.　©　2017,　Tianjin　University　of　Technology　and　Springer-Verlag　GmbH　Germany,　part　of　Springer　Nature.